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  • CS Colloquium: Hengshuang Zhao (University of Oxford) - Advancing Visual Intelligence via Neural System Design

    Mon, Mar 01, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Hengshuang Zhao, University of Oxford

    Talk Title: Advancing Visual Intelligence via Neural System Design

    Series: CS Colloquium

    Abstract: Building intelligent visual systems is essential for the next generation of artificial intelligence systems. It is a fundamental tool for many disciplines and beneficial to various potential applications such as autonomous driving, robotics, surveillance, augmented reality, to name a few. An accurate and efficient intelligent visual system has a deep understanding of the scene, objects, and humans. It can automatically understand the surrounding scenes. In general, 2D images and 3D point clouds are the two most common data representations in our daily life. Designing powerful image understanding and point cloud processing systems are two pillars of visual intelligence, enabling the artificial intelligence systems to understand and interact with the current status of the environment automatically. In this talk, I will first present our efforts in designing modern neural systems for 2D image understanding, including high-accuracy and high-efficiency semantic parsing structures, and unified panoptic parsing architecture. Then, we go one step further to design neural systems for processing complex 3D scenes, including semantic-level and instance-level understanding. Further, we show our latest works for unified 2D-3D reasoning frameworks, which are fully based on self-attention mechanisms. In the end, the challenges, up-to-date progress, and promising future directions for building advanced intelligent visual systems will be discussed.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Dr. Hengshuang Zhao is a postdoctoral researcher at the University of Oxford. Before that, he obtained his Ph.D. degree from the Chinese University of Hong Kong. His general research interests cover the broad area of computer vision, machine learning and artificial intelligence, with special emphasis on building intelligent visual systems. He and his team won several champions in competitive international challenges like ImageNet Scene Parsing Challenge. He is recognized as outstanding/top reviewers in ICCV'19 and NeurIPS'19. He receives the rising star award at the world artificial intelligence conference 2020. Some of his research projects are supported by Microsoft, Adobe, Uber, Intel, and Apple. His works have been cited for about 5,000+ times, with 5,000+ GitHub credits and 80,000+ YouTube views.

    Host: Ramakant Nevatia

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Central Intelligence Agency Career Opportunities Info Session

    Mon, Mar 01, 2021 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Log in and learn about career opportunities at the Central Intelligence Agency!

    All degree levels and Viterbi majors welcome.

    Hear about different career paths, and get the chance to ask a Central Intelligence Agency recruiter about what it is like to work there, the hiring process, what opportunities they have, and more.

    You will also be able to sign up for one-on-one office hour phone calls with Central Intelligence Agency recruiters taking place next week, March 8th.

    Registration: Link Coming soon!

    NOTE: The Central Intelligence Agency cannot sponsor international candidates.

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • PhD Defense - Kan Qi

    Mon, Mar 01, 2021 @ 12:00 PM - 02:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Kan Qi

    Committee:
    Prof. Barry Boehm (chair)
    Prof. Paul Adler (outside)
    Prof. Chao Wang

    Title: Incremental Effort Estimation via Transaction Analysis

    Accurate software cost and effort estimation is particularly important for many classes of software projects. Examples are projects with fixed budget, competitive bidding on prospective projects, or prioritization of candidate projects. Many organizations primarily rely on commercial or open-source cost estimation models, which have been calibrated on the actual sizes and costs of previous projects. Their key size parameter is generally the number of lines of code in the projects. This can be accurately determined via a code-count system on the previous projects, but there is no counterpart for estimating the lines of code in the system to be developed. One can try to break the system into pieces and estimate the lines of code in each piece but doing this accurately will generally require additional time and effort to design the system. Alternative early effort estimation methods such as story points, use case points, and function points involve determining the system's numbers and complexities of user stories, use cases, inputs, outputs, queries, and logical files, which again typically require additional time and effort to analyze the functionality and architecture. In summary, there are two limitations that prevent the existing effort estimation methods from being effectively used for early effort estimation. First, the existing methods require extensive manual analysis effort to acquire system information as their input. This makes it costly to apply the existing methods at the early stage of a software project. Secondly, the system information that the existing methods rely on as the input can usually only be retrieved from certain types of system specifications. This makes the existing methods only applicable at the development phases where the required types of system specifications are produced.

    To address the first limitation, an automated transaction analysis method is proposed, which can be used to automatically retrieve transactional information from the typical early-phase artifacts produced in a software project; To address the second limitation, three phase-based effort estimation models are proposed, which utilize the retrieved transactional information to provide effort estimates at all the typical early phases of a software project. The evaluation results have shown that the automated transaction analysis method can be an effective replacement of manual transaction analysis with high transaction identification accuracy, and the phase-based effort estimation models can provide considerable estimation accuracy improvements over the existing effort estimation models and the later-phase effort estimation models can provide significant accuracy improvements over the earlier-phase effort estimation models.






    WebCast Link: https://usc.zoom.us/j/98532742081?pwd=a2VLK1NEQUNKK3BWOWdLN01ZUUNrZz09

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • Tour de L.A. Viterbi Wellness Challenge

    Mon, Mar 01, 2021 @ 03:00 PM - 04:00 PM

    Computer Science

    Student Activity


    Tour de L.A. is a Viterbi Wellness Challenge promoting health of the mind, body, and soul in a safe, virtual, but still engaging, environment. This month-long adventure is designed after the Tour de France, and highlights attractions in Los Angeles. Starting on March 1, 2021 and continuing the whole month of March, participants can walk, run, or bike from wherever they are to progress through the challenge. Although these activities are often solitary and people are scattered all over the world, there are plenty of communal and social opportunities to come together virtually. The Tour de L.A. is open to the entire Viterbi community, in an effort to promote health and well-being. Let's do this together! #WellnessOn

    https://viterbigrad.usc.edu/tour-de-l-a-viterbi-wellness-challenge/

    Location: Online - Zoom

    WebCast Link: https://viterbigrad.usc.edu/tour-de-l-a-viterbi-wellness-challenge/

    Audiences: Everyone Is Invited

    Posted By: Viterbi Graduate Student Association (VGSA)

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  • Virtual Networking 101

    Mon, Mar 01, 2021 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    To access this workshop:
    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • ACM Debugging Competition

    Mon, Mar 01, 2021 @ 07:00 PM - 08:00 PM

    Computer Science

    Student Activity


    Debugging Competition - Monday, March 1st at 7pm - Do you enjoy programming? Want to practice your debugging skills and compete for prizes? Join ACM on Monday, March 1, 2021, from 7-8 PM for some friendly competition, as you put to test your debugging skills and make new friends. The competition is open to people of all levels! There will also be exciting prizes.
    We hope to see you there!
    RSVP Link: https://forms.gle/tnhGPTJ4WY2WUJTZ9
    Zoom Link - https://usc.zoom.us/j/97205032289

    To hear about more of ACM's events, sign up for our newsletter here: https://uscacm.typeform.com/to/D5igbqTP

    Location: Online

    Audiences: Undergraduate and Graduate Students

    Posted By: Caitlin Swanson

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  • Virtual Networking 101

    Tue, Mar 02, 2021 @ 08:00 AM - 08:30 AM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    To access this workshop:
    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Leilani Gilpin (MIT CSAIL) - Anomaly Detection Through Explanations

    Tue, Mar 02, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Leilani Gilpin, MIT CSAIL

    Talk Title: Anomaly Detection Through Explanations

    Series: CS Colloquium

    Abstract: Under most conditions, complex systems are imperfect. When errors occur, as they inevitably will, systems need to be able to (1) localize the error and (2) take appropriate action to mitigate the repercussions of that error. In this talk, I present new methodologies for detecting and explaining errors in complex systems.
    My novel contribution is a system-wide monitoring architecture, which is composed of introspective, overlapping committees of subsystems.
    Each subsystem is encapsulated in a "reasonableness" monitor, an adaptable framework that supplements local decisions with commonsense data and reasonableness rules. This framework is dynamic and introspective: it allows each subsystem to defend its decisions in different contexts: to the committees it participates in and to itself. For reconciling system-wide errors, I developed a comprehensive architecture: "Anomaly Detection through Explanations (ADE)." The ADE architecture contributes an explanation synthesizer that produces an argument tree, which in turn can be traced and queried to determine the support of a decision, and to construct counterfactual explanations. I have applied this methodology to detect incorrect labels in semi-autonomous vehicle data, and to reconcile inconsistencies in simulated, anomalous driving scenarios.

    My work has opened up the new area of explanatory anomaly detection, towards a vision in which: complex machines will be articulate by design; dynamic, internal explanations will be part of the design criteria, and system-level explanations will be able to be challenged in an adversarial proceeding.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Leilani H. Gilpin is a research scientist at Sony AI and a collaborating researcher at MIT CSAIL. Her research focuses on enabling opaque autonomous systems to explain themselves for robust decision-making, system debugging, and accountability. Her current work integrates explainability into reinforcement learning for game-playing agents.

    She received her PhD in Electrical Engineering and Computer Science from MIT in 2020, and holds an M.S. in Computational and Mathematical Engineering from Stanford University, and a B.S. in Mathematics (with honors), B.S. in Computer Science (with highest honors), and a music minor from UC San Diego. Outside of research, Leilani enjoys swimming, cooking, and rowing.


    Host: Yan Liu

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Mar 02, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Hadi Meidani, Assistant Professor, University of Illinois at Urbana-Champaign

    Talk Title: Scientific Machine Learning for Efficient Computational Design of Engineering Systems

    Abstract:
    The focus of this talk is on using deep neural networks (DNNs) to approximate the response of engineering systems and facilitate their design and control. DNNs can be trained using supervised learning approaches which require large datasets of input-output samples. In engineering applications, these input-output samples are typically obtained from high-fidelity Finite Element or Finite Difference solvers. In applications where these samples are costly to obtain, supervised learning may be prohibitively slow. In this talk, I will present our recent contributions in this domain, which includes (1) using DNNs to accelerate robust topology optimization via a lower-dimensional representation and (2) developing a PDE-based simulation-free deep learning approach that directly exploit the physical laws in an efficient way.




    Biography: Hadi Meidani is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. He earned his Ph.D. in Civil Engineering and his M.S. in Electrical Engineering from the University of Southern California in 2012. Prior to joining UIUC, he was a postdoctoral research associate at USC in (2012-2013) and in the Scientific Computing and Imaging Institute at the University of Utah (2013-2014). He is the recipient of the NSF CAREER Award to study fast computational models for infrastructure systems. His research interests are uncertainty quantification, scientific machine learning, and design under uncertainty.

    Host: Dr. Roger Ghanem

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Tue, Mar 02, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

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    Posted By: USC Computer Science

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  • ISE 651 - Epstein Seminar

    Tue, Mar 02, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Meisam Razaviyayn, Assistant Professor, Epstein Dept. of Industrial & Systems Engineering, USC

    Talk Title: Does Your Training Data Violate My Privacy? A Near-Optimal Model Discrimination Method With Non-Disclosure

    Host: Prof. Jong-Shi Pang

    More Information: March 2, 2021.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Mork Family Department Spring Virtual Seminars - Ilya Levental

    Tue, Mar 02, 2021 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Ilya Levental, University of Virginia

    Talk Title: DESIGN PRINCIPLES OF LIVING MEMBRANES

    Abstract: ZOOM MEETING INFO:
    https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09
    Meeting ID: 982 2595 2695 • Passcode: 322435

    Host: Wade Zeno

    More Info: https://usc.zoom.us/j/98225952695?

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

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  • Healthcare Tech Industry Discussion - RSVP

    Tue, Mar 02, 2021 @ 05:30 PM - 06:30 PM

    Computer Science

    Student Activity


    Healthcare Technology and Analytics at USC, will be hosting a speaker event on March 2nd, 2021 at 5:30 PM PST. Ben Nguyen, MD will be speaking about the healthcare technology industry. Dr. Nguyen graduated from the Keck School of Medicine and now works at a health tech company that uses artificial intelligence to improve patient care. He will be sharing about his experience in the industry as well as his insight on where the field is heading.

    To RSVP for the event, please use the following Google Form:

    https://bit.ly/2NvNECq

    A zoom link will be sent out prior to the event to all who RSVP.


    HCTA at USC is a new organization at USC seeking to bring together students of all disciplines who are interested in the future of healthcare. If you are interested in learning more about our organization, you can visit our website (https://hctausc.weebly.com/) or fill out this short application (https://forms.gle/J1snLavU53YuEQr29)!

    Thank you and we hope to see you all there!

    --
    Healthcare Technology and Analytics at USC
    Visit us at: https://hctausc.weebly.com/

    Location: Online - Zoom

    Audiences: Everyone Is Invited

    Posted By: HCTA at USC

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  • CS Colloquium: Zhuoran Yang (Princeton University) - Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency

    Wed, Mar 03, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Zhuoran Yang, Princeton University

    Talk Title: Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency

    Series: CS Colloquium

    Abstract: Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical understandings lag behind. In particular, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk, we will present the two sides of the same coin, which demonstrates an intriguing duality between pessimism and optimism.

    - In the offline setting, we aim to learn the optimal policy based on a dataset collected a priori. Due to a lack of active interactions with the environment, we suffer from the insufficient coverage of the dataset. To maximally exploit the dataset, we propose a pessimistic least-squares value iteration algorithm, which achieves a minimax-optimal sample complexity.

    - In the online setting, we aim to learn the optimal policy by actively interacting with an environment. To strike a balance between exploration and exploitation, we propose an optimistic least-squares value iteration algorithm, which achieves a \sqrt{T} regret in the presence of linear, kernel, and neural function approximators.


    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Zhuoran Yang is a final-year Ph.D. student in the Department of Operations Research and Financial Engineering at Princeton University, advised by Professor Jianqing Fan and Professor Han Liu. Before attending Princeton, He obtained a Bachelor of Mathematics degree from Tsinghua University. His research interests lie in the interface between machine learning, statistics, and optimization. The primary goal of his research is to design a new generation of machine learning algorithms for large-scale and multi-agent decision-making problems, with both statistical and computational guarantees. Besides, he is also interested in the application of learning-based decision-making algorithms to real-world problems that arise in robotics, personalized medicine, and computational social science.

    Host: Haipeng Luo

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Spring 2021 Viterbi Industry Networking Event

    Wed, Mar 03, 2021 @ 01:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    The Virtual Viterbi Industry Networking Events connect students with Viterbi Alumni and industry professionals from across the world in an online networking event.

    The event will have twelve different booths, organized by industry. Move between booths to connect randomly with a Viterbi Alumni or organization rep based on the booth you enter. This approach will help you network with industry professionals and make new connections with people from various backgrounds. There will also be a Viterbi Career Connections booth with advisors to answer your career or event-related questions.

    This event is open to all Viterbi Students including current Bachelors, Masters & Doctoral students.

    Registration coming soon!

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Mar 03, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Wed, Mar 03, 2021 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Gabor Orosz, Mechanical Engineering, University of Michigan

    Talk Title: Safety Verification and Conflict Analysis for Connected Automated Vehicles

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: We demonstrate how wireless vehicle-to-everything (V2X) communication can be utilized to improve safety and prevent conflicts between road participants in mixed traffic scenarios where connected automated vehicles (CAVs) interact with connected human-driven vehicles (CHVs). The key idea is to find boundaries in state space that allow CAVs to make safe decisions far away from the conflict zone. This way CAVs are able to maintain safety while using mild control actions that benefit both the CAVs as well as the surrounding human-dominated traffic. Requirements for the quality of V2V communications are determined to ensure the performance of the decision making and control algorithms. The results are demonstrated experimentally using real automobiles and class-8 trucks.


    Biography: Gabor Orosz received the M.Sc. degree in Engineering Physics from the Budapest University of Technology, Hungary, in 2002 and the Ph.D. degree in Engineering Mathematics from University of Bristol, UK, in 2006. He held postdoctoral positions at the University of Exeter, UK, and at the University of California, Santa Barbara. In 2010, he joined the University of Michigan, Ann Arbor where he is currently an Associate Professor in Mechanical Engineering and in Civil and Environmental Engineering. During 2017-2018 he was a Visiting Professor in Control and Dynamical Systems at the California Institute of Technology. His research interests include nonlinear dynamics and control, time delay systems, and machine learning with applications to connected and automated vehicles, traffic flow, and biological networks. He served as the Program Chair of the 2015 IFAC Workshop on Time Delay Systems and served as the General Chair of the 2019 IAVSD Workshop on Dynamics of Road Vehicles: Connected and Automated Vehicles. Since 2018 he has been serving as an editor for the journal Transportation Research Part C and since 2021 he has been serving as an editor for the IEEE Transactions on Control Systems Technology.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • AME Seminar

    Wed, Mar 03, 2021 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Samantha Daly, University of California at Santa Barbara

    Talk Title: Machine Learning for High-Throughput Experiment and Analysis of Processing-Property Relationships

    Abstract: Materials have hierarchical and heterogeneous structures that drive their deformation and failure mechanisms. The relationship between structure and behavior -- such as the impact of the microstructure of a polycrystalline metal on twinning, dislocation slip, grain boundary sliding, and multi-crack systems -- includes complex stochastic and deterministic factors whose interactions are under active debate. In this talk, the application of data-driven approaches to microscale displacement data for the high-throughput segmentation, identification, and analysis of twinning in magnesium (a deformation mechanism that is critical to its ductility and forming) will be discussed. This will include an analysis of deformation twinning over thousands of grains per test, including an analysis of the impact of microstructure on the relative activity of specific twin variants (automatically identified from microscale strain fields) and their evolution under load. The newly developed experimental and analytical approaches are length scale independent and material agnostic, and can be modified to identify a range of deformation and failure mechanisms.

    Biography: Samantha (Sam) Daly is a Professor in the Department of Mechanical Engineering at the University of California at Santa Barbara. She received her Ph.D. from Caltech in 2007 and subsequently joined the University of Michigan, where she was on the faculty until 2016 prior to her move to UCSB. The Daly group investigates the mechanics of materials, with a focus on fatigue, fracture, creep, composites, multi-functional materials, and new experimental and data-driven approaches for the characterization of processing -“ structure -“ property relationships. Her recognitions include the Experimental Mechanics Best Paper of the Year Award, IJSS Best Paper of the Year Award, DOE Early Career Award, NSF CAREER Award, AFOSR-YIP Award, ASME Eshelby Mechanics Award, Journal of Strain Analysis Young Investigator Award, ASME Orr Award, and Caddell Award. She currently serves on the Executive Board of the Society of Experimental Mechanics, and as an Associate Editor of the journals Applied Mechanics Reviews, Experimental Mechanics, and Strain.

    Host: AME Department

    More Info: https://usc.zoom.us/j/92448962089

    Webcast: https://usc.zoom.us/j/92448962089

    Location: Online event

    WebCast Link: https://usc.zoom.us/j/92448962089

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • CS Colloquium: Huda Khayrallah (John Hopkins University) - Machine Translation for All: Improving Machine Translation in Low Resource, Domain Mismatch & Noisy Training Settings

    Thu, Mar 04, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Huda Khayrallah, John Hopkins University

    Talk Title: Machine Translation for All: Improving Machine Translation in Low Resource, Domain Mismatch & Noisy Training Settings

    Series: CS Colloquium

    Abstract: Machine translation uses machine learning to automatically translate text from one language to another and has the potential to reduce language barriers. Recent improvements in machine translation have made it more widely-usable, partly due to deep neural network approaches. However-”like most deep learning algorithms-”neural machine translation is sensitive to the quantity and quality of training data, and therefore produces poor translations for some languages and styles of text. Machine translation training data typically comes in the form of parallel text-”sentences translated between the two languages of interest. Limited quantities of parallel text are available for most language pairs, leading to a low-resource problem. Even when training data is available in the desired language pair, it is frequently formal text-”leading to a domain mismatch when models are used to translate a different type of data, such as social media or medical text. Neural machine translation currently performs poorly in low-resource and domain mismatch settings; my work aims to overcome these limitations, and make machine translation a useful tool for all users.

    In this talk, I will discuss a method for improving translation in low resource settings-”Simulated Multiple Reference Training (SMRT; Khayrallah et al., 2020)-”which uses a paraphraser to simulate training on all possible translations per sentence. I will also discuss work on improving domain adaptation (Khayrallah et al., 2018), and work on analyzing the effect of noisy training data (Khayrallah and Koehn, 2018).

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Huda Khayrallah is a PhD candidate in Computer Science at The Johns Hopkins University where she is advised by Philipp Koehn. She is part of the Center for Language and Speech Processing and the machine translation group. She works on applied machine learning for Natural Language Processing, primarily machine translation. Her work focuses on overcoming deep learning's sensitivity to the quantity and quality of the training data, including low resource and domain adaptation settings. In Summer 2019, she was a research intern at Lilt, working on translator-in-the-loop machine translation. She holds an MSE in Computer Science from Johns Hopkins (2017), and a BA in Computer Science from UC Berkeley (2015). More info about her can be found on her website: http://www.cs.jhu.edu/~huda

    Host: Xiang Ren

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CS Colloquium: Abhinav Verma (University of Texas - Austin) - Neurosymbolic Reinforcement Learning

    Thu, Mar 04, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Abhinav Verma, University of Texas - Austin

    Talk Title: Neurosymbolic Reinforcement Learning

    Series: CS Colloquium

    Abstract: Recent advances in Artificial Intelligence (AI) have been driven by deep neural networks. However, neural networks have certain well-known flaws: they are difficult to interpret and verify, have high variability, and lack domain awareness. These issues create a deficiency of trust and are hence a significant impediment to the deployment of AI in safety-critical applications. In this talk, I will present work that addresses these drawbacks via neurosymbolic learning in the reinforcement learning paradigm. Neurosymbolic agents combine experience based neural learning with partial symbolic knowledge expressed via programs in a Domain Specific Language (DSL). Using a DSL provides a principled mechanism to leverage high-level abstractionsfor machine learning models, and establishes a synergistic relationship between machine learning and program synthesis.

    To overcome the challenges of policy search in non-differentiable program space we introduce a meta-algorithm that is based on mirror descent, program synthesis, and imitation learning. This approach interleaves the use of synthesized symbolic programs to regularize neural learning with the imitation of gradient-based learning to improve the quality of synthesized programs. This perspective allows us to prove robust expected regret bounds and finite-sample guarantees for this algorithm. The theoretical results guaranteeing more reliable learning are accompanied by promising empirical results on complex tasks such as learning autonomous driving agents and generating interpretable programs for behavior annotation.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Abhinav Verma is a PhD Candidate at the University of Texas at Austin, where he is advised by Swarat Chaudhuri. His research lies at the intersection of machine learning and formal methods, with a focus on building intelligent systems that are reliable, transparent, and secure. His work builds connections between the symbolic reasoning and inductive learning paradigms of artificial intelligence. He is currently supported by a JP Morgan AI Research PhD Fellowship.

    Host: Mukund Raghothaman / Bistra Dilkina

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • NL Seminar-LIGHT: Training agents that can act and speak with other models and humans in a rich text adventure game world

    Thu, Mar 04, 2021 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Jason Weston , Fair/NYU

    Talk Title: LIGHT: Training agents that can act and speak with other models and humans in a rich text adventure game world

    Series: NL Seminar

    Abstract: LIGHT is a rich fantasy text adventure game environment featuring dialogue and actions between agents in the world, which consist of both models and humans. I will summarize work on building this research platform, including crowdsourcing and machine learning to build the rich world environment, training agents to speak and act within it, and deploying the game for lifelong learning of agents by interacting with humans. See
    LIGHT Learning in Interactive Games with Humans and Text. The LIGHT project is a large scale fantasy text adventure game research platform for training agents that can both talk and act, interacting either with other models or with humans.
    parl. ai and the talk! for more.



    Biography: Jason Weston is a research scientist at Facebook, NY and a Visiting Research Professor at NYU. He earned his PhD in machine learning at Royal Holloway, University of London and at AT and T Research in Red Bank, NJ advisors: Alex Gammerman, Volodya Vovk and Vladimir Vapnik in 2000. From 2000 to 2001, he was a researcher at Biowulf technologies. From 2002 to 2003 he was a research scientist at the Max Planck Institute for Biological Cybernetics, Tuebingen, Germany. From 2003 to 2009 he was a research staff member at NEC Labs America, Princeton. From 2009 to 2014 he was a research scientist at Google, NY. His interests lie in statistical machine learning, with a focus on reasoning, memory, perception, interaction and communication. Jason has published over 100 papers, including best paper awards at ICML and ECML, and a Test of Time Award for his work, A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning, ICML 2008 with Ronan Collobert. He was part of the YouTube team that won a National Academy of Television Arts and Sciences Emmy Award for Technology and Engineering for Personalized Recommendation Engines for Video Discovery. He was listed as the 16th most influential machine learning scholar at AMiner and one of the top 50 authors in Computer Science in Science

    Host: Jon May and Mozhdeh Gheini

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://usc.zoom.us/j/91906081447

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://usc.zoom.us/j/91906081447

    Audiences: Everyone Is Invited

    Posted By: Petet Zamar

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Thu, Mar 04, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Career Conversations: How to Impress Employers

    Thu, Mar 04, 2021 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Will your skill set stand out to employers? Join our interactive Career Conversations with Viterbi Career Connections staff for an inside look at employer feedback for Viterbi students. During this session, learn practices to develop the key professionalism and communication skills employers want to see more of.

    To access this workshop:

    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • Virtual Chat with Prof. Mike Gruntman from Department of Astronautical Engineering

    Thu, Mar 04, 2021 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Masters Programs

    Student Activity


    Sure, they're distinguished and renowned experts in their fields, but Viterbi faculty were once students too. Learn valuable life lessons as they share their professional and personal stories! Together, VGSA and the VASE office presents the Virtual Chat with a Professor Series! These are meant to be informal conversations that you might have with a professor after class or in the hallways. Each session is open to all Viterbi graduate students. Join in to chat with Prof. Mike Gruntman!

    Audiences: Everyone Is Invited

    Posted By: Juli Legat

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  • Boeing Freshman Design Challenge

    Thu, Mar 04, 2021 @ 06:00 PM - 09:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Challenge Details: As the world's leading aerospace company, Boeing is the world's largest manufacturer of commercial airplanes and military aircraft. To continue this dominance, Boeing needs the young minds of tomorrow to provide innovative, new perspectives. For this reason, Boeing will be putting on a design challenge for the Freshmen class of USC. In this competition, teams of three or four freshmen will have two hours to work together and design a solution to a typical, real-world engineering problem.

    During this unique, resume-building experience, students will also have the opportunity to network with Boeing engineers and executives, who will be available to act as mentors and judges.

    Despite being virtual, food will be provided in the form of dining gift cards for participants. Prizes are provided to top participants!

    To RSVP log into Viterbi Career Gateway>> Events>> Information Sessions:
    https://shibboleth-viterbi-usc-csm.symplicity.com/sso

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • CS Colloquim: TBA

    Fri, Mar 05, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: TBA, TBA

    Talk Title: TBA

    Series: CS Colloquium

    Abstract: TBA

    Biography: TBA

    Host: Ramakant Nevatia

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CSU@USC Day 1

    Fri, Mar 05, 2021 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    The University of Southern California-Viterbi School of Engineering is proud to present the first annual CSU at USC virtual workshop series!

    Over the course of two days, this program will take an overall look at the engineering graduate school experience. Participants will have the opportunity to engage with current students, faculty and staff, and will walk away with an understanding of Masters & PhD programs in engineering and computer science. Our goal is to provide the pathways and tools needed for CSU students to pursue advanced studies and their academic careers.

    Eligibility
    *MUST Currently attend a California State University (CSU)*

    We encourage students majoring in engineering, computer science, applied mathematics, or physical sciences (biology, chemistry, physics) to join. Students with backgrounds outside of science and engineering are also welcome to join to learn more about our interdisciplinary data science programs.

    More information available here: https://viterbigradadmission.usc.edu/csu-at-usc/

    Register here:
    https://usc.zoom.us/webinar/register/WN_ydygqKKEQbuFBzX4HBpWrA

    More Information: CSU USC 2021 flyer.pdf

    Location: Zoom

    WebCast Link: https://usc.zoom.us/webinar/register/WN_ydygqKKEQbuFBzX4HBpWrA

    Audiences: CSU Undergraduate Students

    Posted By: camila tabar

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  • CS Colloquium: Daniel Fried (UC Berkeley) - Learning Grounded Pragmatic Communication

    Fri, Mar 05, 2021 @ 12:00 PM - 01:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Daniel Fried, UC Berkeley

    Talk Title: Learning Grounded Pragmatic Communication

    Series: CS Colloquium

    Abstract: To generate language, natural language processing systems predict what to say---why not also predict how listeners will respond? We show how language generation and interpretation across varied grounded domains can be improved through pragmatic inference: explicitly reasoning about the actions and intents of the people that the systems interact with. We train neural generation and interpretation models which ground language into a world context, then layer a pragmatic inference procedure on top of these models. This pragmatic procedure predicts how human listeners will interpret text generated by the models, and reasons counterfactually about why human speakers produced the text they did. We find that this approach improves models' success at generating and interpreting instructions in real indoor environments, as well as in a challenging spatial reference dialogue task.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Daniel Fried is a final-year PhD candidate at UC Berkeley in natural language processing, advised by Dan Klein. His research focuses on language grounding: tying language to world contexts, for tasks like visual- and embodied-instruction following, text generation, and dialogue. Previously, he graduated with an MPhil from the University of Cambridge and a BS from the University of Arizona. His work has been supported by a Google PhD Fellowship, an NDSEG Fellowship, and a Churchill Scholarship.

    Host: Xiang Ren

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Instagram Live Q & A with VCC

    Fri, Mar 05, 2021 @ 12:45 PM - 01:15 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Instagram Live Q & A with Viterbi Career Connections

    Hello fellow Trojans, join Viterbi Career Connections Staff on Friday, March 5th from 12:45-1:15 pm for quick professional tips and career advice via Instagram @viterbicareers.

    Location: Instagram @viterbicareers

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • Repeating EventAthenaHacks

    Sat, Mar 06, 2021

    Computer Science

    Student Activity


    Happening for a fifth year, from March 6-7 virtually, AthenaHacks is open to all levels of experience, majors, and backgrounds (undergraduate and graduate students both welcome).

    At AthenaHacks you'll have the opportunity to learn, network, and build through project building, technical and professional workshops, and speaker series.

    Everything is free! Our sponsors at the event will include Microsoft, Zynga, Facebook, Disney, and Bloomberg and we'll have thousands of dollars worth of prizes to compete for!


    Email any questions to AthenaHacks@gmail.com, join the event page: https://tinyurl.com/athenahacks21, and find us on Instagram on @athena_hacks.

    Applications are due Saturday 2/27/21 at 11:59pm PST!
    Apply at http://www.athenahacks.com/.

    Location: Online

    Audiences: Undergraduate and Graduate Students

    View All Dates

    Posted By: AthenaHacks

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  • CSU@USC Day 2

    Sat, Mar 06, 2021 @ 10:00 AM - 12:30 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    The University of Southern California-Viterbi School of Engineering is proud to present the first annual CSU at USC virtual workshop series!

    Over the course of two days, this program will take an overall look at the engineering graduate school experience. Participants will have the opportunity to engage with current students, faculty and staff, and will walk away with an understanding of Masters & PhD programs in engineering and computer science. Our goal is to provide the pathways and tools needed for CSU students to pursue advanced studies and their academic careers.

    Eligibility
    *MUST Currently attend a California State University (CSU)*

    We encourage students majoring in engineering, computer science, applied mathematics, or physical sciences (biology, chemistry, physics) to join. Students with backgrounds outside of science and engineering are also welcome to join to learn more about our interdisciplinary data science programs.

    More information available here: https://viterbigradadmission.usc.edu/csu-at-usc/

    Register here:
    https://usc.zoom.us/webinar/register/WN_TwUSaOPqRvyby2YXVnRN5A

    More Information: CSU USC 2021 flyer.pdf

    Location: Zoom

    WebCast Link: https://usc.zoom.us/webinar/register/WN_TwUSaOPqRvyby2YXVnRN5A

    Audiences: CSU Undergraduate Students

    Posted By: camila tabar

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  • Repeating EventAthenaHacks

    Sun, Mar 07, 2021

    Computer Science

    Student Activity


    Happening for a fifth year, from March 6-7 virtually, AthenaHacks is open to all levels of experience, majors, and backgrounds (undergraduate and graduate students both welcome).

    At AthenaHacks you'll have the opportunity to learn, network, and build through project building, technical and professional workshops, and speaker series.

    Everything is free! Our sponsors at the event will include Microsoft, Zynga, Facebook, Disney, and Bloomberg and we'll have thousands of dollars worth of prizes to compete for!


    Email any questions to AthenaHacks@gmail.com, join the event page: https://tinyurl.com/athenahacks21, and find us on Instagram on @athena_hacks.

    Applications are due Saturday 2/27/21 at 11:59pm PST!
    Apply at http://www.athenahacks.com/.

    Location: Online

    Audiences: Undergraduate and Graduate Students

    View All Dates

    Posted By: AthenaHacks

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  • CS Colloquium: Mariya Toneva (Carnegie Mellon University) - Data-Driven Transfer of Insight between Brains and AI Systems

    Mon, Mar 08, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Mariya Toneva, Carnegie Mellon University

    Talk Title: Data-Driven Transfer of Insight between Brains and AI Systems

    Series: CS Colloquium

    Abstract: Several major innovations in artificial intelligence (AI) (e.g. convolutional neural networks, experience replay) are based on findings about the brain. However, the underlying brain findings took many years to first consolidate and many more to transfer to AI. Moreover, these findings were made using invasive methods in non-human species. For cognitive functions that are uniquely human, such as natural language processing, there is no suitable model organism and a mechanistic understanding is that much farther away.

    In this talk, I will present my research program that circumvents these limitations by establishing a direct connection between the human brain and AI systems with two main goals: 1) to improve the generalization performance of AI systems and 2) to improve our mechanistic understanding of cognitive functions. Lastly, I will discuss future directions that build on these approaches to investigate the role of memory in meaning composition, both in the brain and AI. This investigation will lead to methods that can be applied to a wide range of AI domains, in which it is important to adapt to new data distributions, continually learn to perform new tasks, and learn from few samples.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Mariya Toneva is a Ph.D. candidate in a joint program between Machine Learning and Neural Computation at Carnegie Mellon University, where she is advised by Tom Mitchell and Leila Wehbe. She received a B.S. in Computer Science and Cognitive Science from Yale University. Her research is at the intersection of Artificial Intelligence, Machine Learning, and Neuroscience. Mariya works on bridging language in machines with language in the brain, with a focus on building computational models of language processing in the brain that can also improve natural language processing systems.

    Host: Yan Liu

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Central Intelligence Agency Office Hours | Pre-Signup Required

    Mon, Mar 08, 2021 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Sign Up For a Time Slot: Link Coming soon!

    Schedule a one-on-one phone call with a recruiter to discuss career opportunities at the Central Intelligence Agency!

    All degree levels and Viterbi majors welcome.
    NOTE: The Central Intelligence Agency cannot sponsor international candidates.
    All times are in local Los Angeles time (PST)

    Talk one-on-one with a CIA Representative to explore career and paid internship opportunities and life at the CIA. These are informal sessions--not job interviews--but please be prepared with questions about positions found on cia.gov/careers.

    If you sign up for a "waitlist" slot, you will be called if the first student signed up for that time does not answer their phone.

    We recommend going to the website, taking the short survey through the website's Job Fit Tool and having your results for our conversation. We can discuss resume style, cover letters, preparing for any interview, or anything else regarding working at the CIA. Undergraduates and Graduates of all academic disciplines are encouraged to attend. All CIA positions require US citizenship and relocation to the Washington, DC metropolitan area.

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • TBA

    Mon, Mar 08, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: TBA, TBA

    Talk Title: TBA

    Series: CS Colloquium

    Abstract: TBA

    Biography: TBA

    Host: Bistra Dilkina

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CS Colloquium: Sanghamitra Dutta (Carnegie Mellon University) - Reliable Machine Learning for High-Stakes Applications: Approaches Using Information Theory

    Mon, Mar 08, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Sanghamitra Dutta , Carnegie Mellon University

    Talk Title: Reliable Machine Learning for High-Stakes Applications: Approaches Using Information Theory

    Series: CS Colloquium

    Abstract: How do we make machine learning (ML) algorithms not only ethical, but also intelligible, explainable, and reliable? This is particularly important today as ML enters high-stakes applications such as hiring and education, often adversely affecting people's lives with respect to gender, race, etc. Identifying bias/disparity in a model's decision is often insufficient. We really need to dig deeper and bring in an understanding of anti-discrimination laws. For instance, Title VII of the US Civil Rights Act includes a subtle and important aspect that has implications for the ML models being used today: Disparities in hiring that can be explained by a business necessity are exempt. E.g., disparity arising due to code-writing skills may be deemed exempt for a software engineering job, but the disparity due to an aptitude test may not be (e.g. Griggs v. Duke Power '71). This leads us to a question that bridges the fields of fairness, explainability, and law: How can we identify and explain the sources of disparity in ML models, e.g., did the disparity arise due to the critical business necessities or not? In this talk, I propose the first systematic measure of "non-exempt disparity," i.e., the illegal bias which cannot be explained by business necessities. To arrive at a measure for the non-exempt disparity, I adopt a rigorous axiomatic approach that brings together concepts in information theory, in particular, an emerging body of work called Partial Information Decomposition, with causal inference tools. This quantification allows one to audit a firm's hiring practices, to check if they are compliant with the law. This may also allow one to correct the disparity by better explaining the source of the bias, also providing insights into accuracy-bias tradeoffs.

    My research bridges reliability in learning with reliability in computing, which has led to an emerging interdisciplinary area called "coded computing". Towards the end of this talk, I will also provide an overview of some of my results on coded reliable computing that addresses long-standing computational challenges in large-scale distributed machine learning (namely, stragglers, faults, failures) using tools from coding theory, optimization, and queueing.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Sanghamitra Dutta (B. Tech. IIT Kharagpur) is a Ph.D. candidate at Carnegie Mellon University, USA. Her research interests revolve around machine learning, information theory, and statistics. She is currently focused on addressing the emerging reliability issues in machine learning concerning fairness, explainability, and law with recent publications at AAAI'20, ICML'20 (also featured in New Scientist and CMU Engineering News). In her prior work, she has also examined problems in reliable computing, proposing novel algorithmic solutions for large-scale distributed machine learning in the presence of faults and failures, using tools from coding theory (an emerging area called "coded computing"). Her results on coded computing address problems that have been open for several decades and have received substantial attention from across communities (published at IEEE Transactions on Information Theory'19,'20, NeurIPS'16, AISTATS'18, IEEE BigData'18, ICML Workshop Spotlight'19, ISIT'17,'18, Proceedings of IEEE'20 along with two pending patents). She is a recipient of the 2020 Cylab Presidential Fellowship, 2019 K&L Gates Presidential Fellowship, 2019 Axel Berny Presidential Graduate Fellowship, 2017 Tan Endowed Graduate Fellowship, 2016 Prabhu and Poonam Goel Graduate Fellowship, the 2015 Best Undergraduate Project Award at IIT Kharagpur, and the 2014 HONDA Young Engineer and Scientist Award. She has also pursued research internships at IBM Research and Dataminr.

    Host: Bistra Dilkina

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Internship/Job Search Open Forum

    Tue, Mar 09, 2021 @ 08:00 AM - 08:30 AM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your career and internship knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    To access this workshop:

    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Dani Yogatama (DeepMind) - Learning General Language Processing Agents

    Tue, Mar 09, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dani Yogatama, DeepMind

    Talk Title: Learning General Language Processing Agents

    Series: CS Colloquium

    Abstract: The ability to continuously learn and generalize to new problems quickly is a hallmark of general intelligence. Existing machine learning models work well when optimized for a particular benchmark, but they require many in-domain training examples (i.e., input-output pairs that are often costly to annotate), overfit to the idiosyncrasies of the benchmark, and do not generalize to out-of-domain examples. In contrast, humans are able to accumulate task-agnostic knowledge from multiple modalities to facilitate faster learning of new skills.

    In this talk, I will argue that obtaining such an ability for a language model requires significant advances in how we acquire, represent, and store knowledge in artificial systems. I will present two approaches in this direction: (i) an information theoretic framework that unifies several representation learning methods used in many domains (e.g., natural language processing, computer vision, audio processing) and allows principled constructions of new training objectives to learn better language representations; and (ii) a language model architecture that separates computation (information processing) in a large neural network and memory storage in a key-value database. I will conclude by briefly discussing a series of future research programs toward building a general linguistically intelligent agent.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Dani Yogatama is a staff research scientist at DeepMind. His research interests are in machine learning and natural language processing. He received his PhD from Carnegie Mellon University in 2015. He grew up in Indonesia and was a Monbukagakusho scholar in Japan prior to studying at CMU.

    Host: Xiang Ren

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CS Colloquium: Ranjay Krishna (Stanford University) - Visual Intelligence from Human Learning

    Tue, Mar 09, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Ranjay Krishna , Stanford University

    Talk Title: Visual Intelligence from Human Learning

    Series: CS Colloquium

    Abstract: At the core of human development is the ability to adapt to new, previously unseen stimuli. We comprehend new situations as a composition of previously seen information and ask one another for clarification when we encounter new concepts. Yet, this ability to go beyond the confounds of their training data remains an open challenge for artificial intelligence agents. My research designs visual intelligence to reason over new compositions and acquire new concepts by interacting with people. My talk will explore these challenges and present the two following lines of work:
    First, I will introduce scene graphs, a cognitively-grounded, compositional visual representation. I will discuss how to integrate scene graphs into a variety of computer vision tasks, enabling models to generalize to novel compositions from a few training examples. Since our introduction of scene graphs, the Computer Vision community has developed hundreds of scene graph models and utilized scene graphs to achieve state-of-the-art results across multiple core tasks, including object localization, captioning, image generation, question answering, 3D understanding, and spatio-temporal action recognition.
    Second, I will introduce a framework for socially situated learning. This framework pushes agents beyond traditional computer vision training paradigms and enables learning from human interactions in online social environments. I will showcase a real-world deployment of our agent, which learned to acquire new visual concepts by asking people targeted questions on social media. By interacting with over 230K people over 8 months, our agent learned to recognize hundreds of new concepts. This work demonstrates the possibility for agents to adapt and self-improve in real-world social environments.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Ranjay Krishna is a 5th-year Ph.D. candidate at Stanford University, where he is co-advised by Fei-Fei Li and Michael Bernstein. His research lies at the intersection of computer vision and human-computer interaction; it draws on ideas from behavioral and social sciences to improve visual intelligence. His work has been recognized by the Christofer Stephenson Memorial award, as an Accell Innovation Scholar and by two Brown Institute for Media Innovation grants. His work has also been featured in Forbes magazine and in a PBS NOVA documentary. During his Ph.D., he re-designed Stanford's undergraduate Computer Vision course and currently also instructs the graduate Computer Vision course, Stanford's second largest course. He has a M.Sc. from Stanford University. Before that, he conferred a B.Sc. with a double major in Electrical Engineering and in Computer Science from Cornell University. In the past, he has interned at Google AI, Facebook AI Research, and Yahoo Research.

    Host: Ramakant Nevatia

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Mar 09, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Arghavan Louhghalam, Assistant Professor, University of Massachusetts Dartmouth

    Talk Title: Physics-based and Data-driven Modeling from eco-friendly roadway network to infrastructure resilience analytics

    Abstract: Development of sustainable and resilient infrastructure systems requires novel frameworks that leverage the explosion of data available through advances in sensors, internet, mobility as well as computational models to design for and respond to the challenges of 21st century. In this talk, I will showcase how physics-constrained data-driven modeling enables development of quantitative platforms for identification, monitoring and projection of infrastructure performance. In the first part of the presentation I will describe a citizen-enabled framework to monitor, in real-time, road surface condition, vehicle excess energy consumption, and the related environmental impact at network scale. Unlike the widely used approaches for road infrastructure monitoring that rely solely on data and empirical models, this framework integrates physics-compatible models of road-vehicle interaction with crowdsourced data to characterize the parameters of system. The proposed data-centric platform has the potential to not only help transportation authorities make optimal decisions in the allocation of resources to road maintenance but also guide route selection by individual drivers or fleet owners. This will be a key player in a rapidly evolving world where an accelerating climate change is pressing for dramatic measures to reduce carbon footprint and GHG emissions. The second part of this talk will be focused on modeling damage using an energy-based formulation of lattice element method (LEM). I will describe the potential of mean force (PMF) approach, widely used in statistical physics and introduce a hybrid PMF formulation of LEM to efficiently model fracture and crack growth in heterogenous media. The framework is validated and utilized for meso-scale simulations to estimate the effective fracture properties of heterogeneous materials. The hybrid approach is shown to be a viable choice due to its flexibility in modeling discontinuity and its computational efficiency and reliable results. Finally, I will discuss our efforts to leverage the versatility of this framework and adapt the formulation as a means for efficient characterization of failure and damage in structural systems to establish an efficient quantitative tool for resilience analytics.






    Biography: Arghavan Louhghalam is an assistant professor in the department of Civil and Environmental Engineering with a joint appointment in Mechanical Engineering Department at University of Massachusetts, Dartmouth. She also holds a research affiliate position in the department of Civil and Environmental Engineering at MIT. Prior to that she was a postdoctoral research associate at Massachusetts Institute of Technology. She earned her PhD in Engineering Mechanics from the Department of Civil Engineering at the Johns Hopkins University. Her research interests lie in the area of engineering mechanics, physics-constrained data-driven modeling, and applied statistics with particular emphasis on development of smart solutions for resilient and sustainable built environment. Dr Louhghalam is a recipient of NSF early CAREER award and her research on citizen-enabled crowdsourced monitoring of transportation infrastructure has been recognized nationally and featured in media outlets such as the New York Times.



    Host: Dr. Roger Ghanem

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Oracle: NetSuite Diversity Lunch & Learn

    Tue, Mar 09, 2021 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Please join the Oracle NetSuite Diversity Team at one of our upcoming virtual open houses to learn more about NetSuite and explore a career in sales or consulting within the Tech industry.

    The sessions will discuss the following:
    - Our commitment to diversity & inclusion in the workplace
    - Available full-time opportunities
    - Q&A with sales and consulting business leaders

    Register Here: https://apexapps.oracle.com/pls/apex/f?p=10412:1::::RP,1:P1_EVENT_ID:DSLBELYBMT&cs=1GOoqZbXxpvWGcUP20T8rOOzikdq1kk0ISQS8-RJhPtPdN6OnOpDDqr5pMFKqSMrphkOSDWXsqwwOzUSQVNHM4w

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Amazon SDE 101

    Tue, Mar 09, 2021 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    *This is an external event hosted by Amazon*

    For people who like to invent, there's no better place to explore opportunities than at Amazon! Come learn more about our Software Development Engineer (SDE) full-time and internship opportunities, our culture, the recruitment process and interview tips.

    Please register for our upcoming info session and submit your questions in advance. (we will select the most frequent pre-submitted questions to answer at the end of the session).

    Register through Viterbi Career Gateway > Events > Information Sessions

    Join our team and help us build the future!

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Tue, Mar 09, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • ISE 651 - Epstein Seminar

    Tue, Mar 09, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Junyi Liu, Postdoctoral Associate

    Talk Title: TBD

    Host: Prof. Jong-Shi Pang

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • CS Distinguished Lecture: Jure Leskovec (Stanford)

    Tue, Mar 09, 2021 @ 04:00 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Location: Online Zoom Webinar TBA

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Mork Family Department Spring Virtual Seminars - Jiefei Zhang

    Tue, Mar 09, 2021 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Jiefei Zhang, University of Southern California

    Talk Title: A NEW PARADIGM FOR ON-CHIP SCALABLE QUANTUM PHOTONICS

    Abstract: ZOOM MEETING INFO:
    https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09
    Meeting ID: 982 2595 2695 • Passcode: 322435

    Host: Andrea Hodge

    More Info: https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

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  • Computer Science General Faculty Meeting

    Wed, Mar 10, 2021 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: TBD

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

    OutlookiCal
  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Mar 10, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Key Virtual Job Search Tips with Northrop Grumman

    Wed, Mar 10, 2021 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Hear from Northrop Grumman recruiter (and USC alumni) Anjali Chopra about how to navigate your job search in a virtual world. This workshop will include tips for virtual networking events/job fairs, security tips, virtual interviewing preparation, how to succeed in an online interview.

    RSVP through Viterbi Career Gateway > Events > Workshops

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Vered Shwartz (University of Washington) - Commonsense Knowledge and Reasoning in Natural Language

    Wed, Mar 10, 2021 @ 04:00 PM - 05:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Vered Shwartz, University of Washington

    Talk Title: Commonsense Knowledge and Reasoning in Natural Language

    Series: CS Colloquium

    Abstract: Natural language understanding models are trained on a sample of the situations they may encounter. Commonsense and world knowledge, and language understanding and reasoning abilities can help them address unknown situations sensibly. This talk will discuss several lines of work addressing commonsense knowledge and reasoning in natural language. First, I will introduce a new paradigm for commonsense reasoning tasks with introspective knowledge discovery through a process of self-asking information seeking questions ("what is the definition of...") and answering them. Second, I will present work on nonmonotonic reasoning in natural language, a core human reasoning ability that has been studied in classical AI but mostly overlooked in modern NLP, including abductive reasoning (reasoning about plausible explanations), counterfactual reasoning (what if?) and defeasible reasoning (updating beliefs given additional information). Next, I will discuss how generalizing existing knowledge can help language understanding, and demonstrate it for noun compound paraphrasing (e.g. olive oil is "oil made of olives"). I will conclude with open problems and future directions in language, knowledge, and reasoning.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Vered Shwartz is a postdoctoral researcher at the Allen Institute for AI (AI2) and the Paul G. Allen School of Computer Science & Engineering at the University of Washington, working with Yejin Choi. Vered's research interests are in NLP, AI, and machine learning, particularly focusing on commonsense knowledge and reasoning, computational semantics, discourse and pragmatics. Previously, Vered completed her PhD in Computer Science from Bar-Ilan University, under the supervision of Ido Dagan. Vered's work has been recognized with several awards, including The Eric and Wendy Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences, the Clore Foundation Scholarship, and an ACL 2016 outstanding paper award.

    Host: Xiang Ren

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CS Colloquium: Gedas Bertasius (Facebook AI) - Designing Video Models for Human Behavior Understanding

    Thu, Mar 11, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Gedas Bertasius, Facebook AI

    Talk Title: Designing Video Models for Human Behavior Understanding

    Series: CS Colloquium

    Abstract: Many modern computer vision applications require extracting core attributes of human behavior such as attention, action, or intention. Extracting such behavioral attributes requires powerful video models that can reason about human behavior directly from raw video data. To design such models we need to answer the following three questions: how do we (1) model videos, (2) learn from videos, and lastly, (3) use videos to predict human behavior?

    In this talk I will present a series of methods to answer each of these questions. First, I will introduce TimeSformer, the first convolution-free architecture for video modeling built exclusively with self-attention. It achieves the best reported numbers on major action recognition benchmarks while also being more efficient than state-of-the-art 3D CNNs. Afterwards, I will present COBE, a new large-scale framework for learning contextualized object representations in settings involving human-object interactions. Our approach exploits automatically-transcribed speech narrations from instructional YouTube videos, and it does not require manual annotations. Lastly, I will introduce a self-supervised learning approach for predicting a basketball player's future motion trajectory from an unlabeled collection of first-person basketball videos.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Gedas Bertasius is a postdoctoral researcher at Facebook AI working on computer vision and machine learning problems. His current research focuses on topics of video understanding, first-person vision, and multi-modal deep learning. He received his Bachelors Degree in Computer Science from Dartmouth College, and a Ph.D. in Computer Science from the University of Pennsylvania. His recent work was nominated for the CPVR 2020 best paper award.

    Host: Ramakant Nevatia

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • CS Colloquium: Jiaming Song (Stanford University) - Beyond Function Approximation: Compression, Inference, and Generation via Supervised Learning

    Thu, Mar 11, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Jiaming Song, Stanford University

    Talk Title: Beyond Function Approximation: Compression, Inference, and Generation via Supervised Learning

    Series: CS Colloquium

    Abstract: Supervised learning methods have advanced considerably thanks to deep function approximators. However, important problems such as compression, probabilistic inference, and generative modeling cannot be directly addressed by supervised learning. At the core, these problems involve estimating (and optimizing) a suitable notion of distance between two probability distributions, which is challenging in high-dimensional spaces. In this talk, I will propose techniques to estimate and optimize divergences more effectively by leveraging advances in supervised learning. I will describe an algorithm for estimating mutual information that approaches a fundamental limit of all valid lower bound estimators and can empirically compress neural networks by up to 70% without losing accuracy. I will also show how these techniques can be used to accelerate probabilistic inference algorithms that have been developed for decades by nearly 10x, improve generative modeling and infer suitable rewards for sequential decision making.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Jiaming Song is a fifth-year Ph.D. candidate in the Computer Science Department at Stanford University, advised by Stefano Ermon. His research focuses on learning and inference algorithms for deep probabilistic models with applications in unsupervised representation learning, generative modeling, and inverse reinforcement learning. He received his B.Eng degree in Computer Science from Tsinghua University in 2016. He was a recipient of the Qualcomm Innovation Fellowship.

    Host: Bistra Dilkina

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Thu, Mar 11, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Career Conversations: How to Impress Employers

    Thu, Mar 11, 2021 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Will your skill set stand out to employers? Join our interactive Career Conversations with Viterbi Career Connections staff for an inside look at employer feedback for Viterbi students. During this session, learn practices to develop the key eadership and problem-solving skills employers want to see more of.

    To access this workshop:

    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: All Viterbi Students

    Posted By: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Amy Zhang (McGill University) - Exploiting latent structure and bisimulation metrics for better generalization in reinforcement learning

    Mon, Mar 15, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Amy Zhang, McGill University

    Talk Title: Exploiting latent structure and bisimulation metrics for better generalization in reinforcement learning

    Series: CS Colloquium

    Abstract: The advent of deep learning has shepherded unprecedented progress in various fields of machine learning. Despite recent advances in deep reinforcement learning (RL) algorithms, however, there is no method today that exhibits anywhere near the generalization that we have seen in computer vision and NLP. Indeed, one might ask whether deep RL algorithms are even capable of the kind of generalization that is needed for open-world environments. This challenge is fundamental and will not be solved with incremental algorithmic advances.

    In this talk, we propose to incorporate different assumptions that better reflect the real world and allow the design of novel algorithms with theoretical guarantees to address this fundamental problem. We first present how state abstractions can accelerate reinforcement learning from rich observations, such as images, without relying either on domain knowledge or pixel-reconstruction. Our goal is to learn state abstractions that both provide for effective downstream control and invariance to task-irrelevant details. We use bisimulation metrics to quantify behavioral similarity between states, and learn robust latent representations which encode only the task-relevant information from observations. We provide theoretical guarantees for the learned approximate abstraction and extend this notion to families of tasks with varying dynamics.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: I am a final year PhD candidate at McGill University and the Mila Institute, co-supervised by Profs. Joelle Pineau and Doina Precup. I am also a researcher at Facebook AI Research. My work focuses on bridging theory and practice through learning approximate state abstractions and learning representations for generalization in reinforcement learning. I previously obtained an M.Eng. in EECS and dual B.Sci. degrees in Mathematics and EECS from MIT.

    Host: Sven Koenig

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Executive Coffee with Verizon

    Mon, Mar 15, 2021 @ 12:00 PM - 01:00 PM

    Computer Science

    Student Activity


    This event is hosted by the USC Entertainment Technology Center and CS students are encouraged to attend.

    The -Executive Coffee with- program at the USC Entertainment Technology Center connects USC students interested in media and entertainment issues with media & entertainment industry executives.

    It is a win-win. The students have a structured low-pressure discussion with a senior industry executive. The executive explores the perspective and ideas of students with an interest in a topic that they care about.

    Monday, March 15, 12:00pm-1:00pm

    Lead Executive: Serhad Doken, Executive, Innovation and Product Realization for the Verizon Consumer Group, Verizon
    Student/Executive Discussion Topic: Expectations for the Future of Entertainment and UI/UX

    What kind of UX/UI do you expect in the future for communicating with friends and colleagues (ex. messaging, business presentations and analytics), being entertained (ex. video, gaming, immersion, social media), and performing mundane tasks (ex. housework)? Assuming that they are fashionable, what kinds of wearables would you want, what would you like the UI/UX to be like, and what functions/applications do you want them to perform?

    Students should go to https://bit.ly/37MLDsF for more information and to fill out the sign-up application.

    Location: Online

    Audiences: Undergraduate and Graduate Students

    Posted By: USC ETC

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Mar 16, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Angela Zhang, Associate Professor, Technical University of Denmark

    Talk Title: TBA

    Host: Dr. Amy Childress

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Tue, Mar 16, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • ISE 651 - Epstein Seminar

    Tue, Mar 16, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Suvrajeet Sen, Professor

    Talk Title: TBD

    Host: Prof. Jong-Shi Pang

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Mar 17, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Thu, Mar 18, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Repeating EventGrammar Tutorials

    Fri, Mar 19, 2021 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORING FOR VITERBI UNDERGRADUATE AND GRADUATE STUDENTS
    Need help refining your grammar skills for academic and professional communication?
    Meet one-on-one with faculty from the Engineering Writing Program, build your grammar skills, and take your writing to the next level!

    Viterbi writing faculty will help you identify and correct recurring grammatical errors in your writing assignments, cover letters, resumes, articles, and dissertations.

    Tutorials are on alternate Friday mornings. Sign up here: http://bit.ly/grammaratUSC


    If you have questions, please contact helenhch@usc.edu.

    Location: ZOOM

    Audiences: Graduate and Undergraduate Students

    View All Dates

    Posted By: Helen Choi

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Tue, Mar 23, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • **NO ISE 651 Epstein Seminar - USC WELLNESS DAY**

    Tue, Mar 23, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Computer Science General Faculty Meeting

    Wed, Mar 24, 2021 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: TBD

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

    OutlookiCal
  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Mar 24, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Repeating EventYes In My Backyard (YIMBY): Human Subjects Research

    Wed, Mar 24, 2021 @ 04:00 PM - 05:00 PM

    USC Viterbi School of Engineering

    Workshops & Infosessions


    An online discussion and Q&A about Human Subjects Research at USC by the leaders from the Office for the Protection of Research Subjects (OPRS) at USC.

    When: 4-5 PM, 02/24 (last Wednesday of each month)
    Format: 20-minute talk, followed by a 40-minute Q&A session.
    Where: Online (https://usc.zoom.us/j/92235084129?pwd=ZmRTdHJHemw5ZEs3VWFuYW5SV0o5Zz09)

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Kristen Grace

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Thu, Mar 25, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Mar 30, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jack Baker, Ph.D., Professor, Civil and Environmental Engineering, Stanford University

    Talk Title: TBA

    Abstract: TBA

    Host: Dr. Roger Ghanem

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Executive Coffee with Warner Bros

    Tue, Mar 30, 2021 @ 12:00 PM - 01:00 PM

    Computer Science

    Student Activity


    This event is hosted by the USC Entertainment Technology Center and CS students are encouraged to attend.

    The -Executive Coffee with- program at the USC Entertainment Technology Center connects USC students interested in media and entertainment issues with media & entertainment industry executives.

    It is a win-win. The students have a structured low-pressure discussion with a senior industry executive. The executive explores the perspective and ideas of students with an interest in a topic that they care about.

    Tuesday March 30, 12:00pm-1:00pm

    Lead Executives:
    Renard Jenkins, VP Content Transmission and Production, WarnerMedia, Warner Bros.
    Michael Zink, VP Emerging and Creative Technologies, WarnerMedia, Warner Bros.

    Student/Executive Discussion Topic: AI and Ethics

    What is the future of Artificial Intelligence and the ethical issues associated with that future? What are the ramifications of the democratization of AI? What does 'diversity' and 'bias' mean in AI development, and can the tests for it transcend regional culture? How will AI coexist with humans, and should digital twins of real people be created?

    Students should go to https://bit.ly/2ZXlgf3 for more information and to fill out the sign-up application.

    Location: Online

    Audiences: Undergraduate and Graduate Students

    Posted By: USC ETC

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  • Repeating EventUndergraduate Advisement Drop-in Hours

    Tue, Mar 30, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • ISE 651 - Epstein Seminar

    Tue, Mar 30, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Roger G. Ghanem, Professor, USC, Civil and Environmental Engineering

    Talk Title: TBD

    Host: Prof. Jong-Shi Pang

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Mork Family Department Spring Virtual Seminars - Steve May

    Tue, Mar 30, 2021 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Steve May, Drexler University

    Talk Title: ANION-BASED APPROACHES TO ENGINEERING FUNCTIONALITY IN PEROVSKITE OXIDE HETEROSTRUCTURES

    Abstract: ZOOM MEETING INFO:
    https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09
    Meeting ID: 982 2595 2695 • Passcode: 322435

    Host: Jay Ravichandran

    More Info: https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

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  • Computer Science General Faculty Meeting

    Wed, Mar 31, 2021 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: TBD

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

    OutlookiCal
  • Repeating EventUndergraduate Advisement Drop-in Hours

    Wed, Mar 31, 2021 @ 01:30 PM - 02:30 PM

    Computer Science

    Workshops & Infosessions


    Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/

    Location: Online

    Audiences: Undergrad

    View All Dates

    Posted By: USC Computer Science

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  • Virtual Chat with Prof. Ellis Meng from Department of Biomedical Engineering

    Wed, Mar 31, 2021 @ 02:30 PM - 03:30 PM

    Viterbi School of Engineering Masters Programs

    Student Activity


    Sure, they're distinguished and renowned experts in their fields, but Viterbi faculty were once students too. Learn valuable life lessons as they share their professional and personal stories! Together, VGSA and the VASE office presents the Virtual Chat with a Professor Series! These are meant to be informal conversations that you might have with a professor after class or in the hallways. Each session is open to all Viterbi graduate students. Join in to chat with Prof. Ellis Meng!

    Audiences: Everyone Is Invited

    Posted By: Juli Legat

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