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SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for December
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NL Seminar -Prioritized training on points that are learnable, worth learning, and not yet learned
Thu, Dec 01, 2022 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Sören Mindermann & Jan Brauner, University of Oxford
Talk Title: Prioritized training on points that are learnable, worth learning, and not yet learned
Series: NL Seminar
Abstract: REMINDER
Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.
If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in.
In person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.
Training on web scale data can take months. But much computation and time is wasted on redundant and noisy points that are already learnt or not learnable. To accelerate training, we introduce Reducible Holdout Loss Selection RHO LOSS , a simple but principled technique which selects approximately those points for training that most reduce the models generalization loss.
As a result, RHO LOSS mitigates the weaknesses of existing data selection methods techniques from the optimization literature typically select hard eg high loss points, but such points are often noisy not learnable or less task relevant. Conversely, curriculum learning prioritizes easy points, but such points need not be trained on once learned. In contrast, RHO LOSS selects points that are learnable, worth learning, and not yet learnt. RHO LOSS trains in far fewer steps than prior art, improves accuracy, and speeds up training on a wide range of datasets, hyperparameters, and architectures MLPs, CNNs, and BERT. On the large web scraped image dataset Clothing 1M, RHO LOSS trains in 18 times fewer steps and reaches 2 percent higher final accuracy than uniform data shuffling.
Biography: Bio Soren Mindermann
Soren is a final year PhD student in machine learning at the University of Oxford, supervised by Yarin Gal. My interests in machine learning include how it scales, causal inference and statistical modeling, as well as robustly aligning machine learning models to adopt human wishes and value.
Bio Jan Brauner
Jan is a PhD candidate in the Centre for Doctoral Training on Intelligent and Autonomous Machines and Systems AIMS CDT, supervised by Yarin Gal. His current research interests include AI safety and applications of AI in medicine biomedical research.
Host: Jon May and Meryem M'hamdi
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://www.youtube.com/watch?v=uRKrSBRAG0kLocation: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689
WebCast Link: https://www.youtube.com/watch?v=uRKrSBRAG0k
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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CEE Seminar Series
Thu, Dec 01, 2022 @ 02:00 PM - 03:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Karen Daniels PhD, North Carolina State University
Talk Title: Looking Inside Granular Materials
Abstract: See attached
Host: Dr Thomas Petersen
More Info: https://usc.zoom.us/j/96591420807
Webcast: https://usc.zoom.us/j/96591420807More Information: Daniels_Announcement.docx
Location: ZOOM
WebCast Link: https://usc.zoom.us/j/96591420807
Audiences: Everyone Is Invited
Contact: Salina Palacios
Event Link: https://usc.zoom.us/j/96591420807
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Wind Down for Finals with KIUEL
Thu, Dec 01, 2022 @ 05:00 PM - 06:00 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Are nerves starting to kick in because of the upcoming finals season? If so, attend KIUEL's Wind Down for Finals and get some advice about how to tackle exams from Viterbi upperclassmen and professors, while enjoying sandwiches and hot chocolate.
Location: Sign into EngageSC to View Location
Audiences:
Contact: Kevin Giang
Event Link: https://engage.usc.edu/viterbi/rsvp?id=387780
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Six Sigma Black BeltMon, Dec 05, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Black Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Black Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's Black belt exam (administered on the final day of the course).
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Tue, Dec 06, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Black Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Black Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's Black belt exam (administered on the final day of the course).
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Wed, Dec 07, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Black Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Black Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's Black belt exam (administered on the final day of the course).
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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CS Colloquium: Alexis E. Block (UCLA) - Towards enhanced social-physical human-robot interaction
Wed, Dec 07, 2022 @ 01:00 PM - 02:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Alexis E. Block, University of California, Los Angeles
Talk Title: Towards enhanced social-physical human-robot interaction
Series: Computer Science Colloquium
Abstract: Hugs are one of the first forms of contact and affection humans experience. Receiving a hug is one of the best ways to feel socially supported, and the lack of social touch can have severe adverse effects on an individual's well-being. Due to the prevalence and health benefits of hugging, we were interested in creating robots that can hug humans as seamlessly as humans hug other humans. However, hugs are complex affective interactions that need to adapt to the height, body shape, and preferences of the hugging partner, and they often include intra-hug gestures like squeezes. In this talk, I'll present the eleven design guidelines of natural and enjoyable robotic hugging that informed the creation of a series of hugging robots that use visual and haptic perception to provide enjoyable interactive hugs. Then, I'll share how each of the four presented HuggieBot versions is evaluated by measuring how users emotionally and behaviorally respond to hugging it. Next, I'll briefly touch on how HuggieBot 4.0 is explicitly compared to a human hugging partner using physiological measures. Finally, I'll share some future directions of my research in the area of social-physical human-robot interaction.
Alexis E. Block will give her talk in person at GFS 207 and we will also host the talk in real-time over Zoom.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_FreWz9MXRQ6XUCLTV096hA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
Biography: Alexis E. Block is currently a postdoctoral research fellow at the University of California, Los Angeles (UCLA), where she is funded by a postdoctoral Computing Innovation Fellowship (CI Fellows) from the US National Science Foundation. She received her Bachelor's in Mechanical Engineering and Applied Science from the University of Pennsylvania in 2016, and her Master's in Robotics in 2017, also from Penn. Block received her Dr. Sc. in Computer Science from ETH Zürich in August 2021, as part of the Max Planck ETH Center for Learning Systems, supervised by Katherine J. Kuchenbecker, Otmar Hilliges, and Roger Gassert. She was awarded an Otto Hahn Medal from the Max Planck Society for her doctoral work and the Best Hands-On Demonstration at EuroHaptics 2022. Block is currently the General Chair for the Robotics Gordon Research Seminar and organized the 2022 Southern California Robotics Symposium that took place in September. Alexis's research has been featured in the New York Times, The Times, IEEE Spectrum (twice), NPR, and Nature Outlook to name a few.
Host: Heather Culbertson
Webcast: https://usc.zoom.us/webinar/register/WN_FreWz9MXRQ6XUCLTV096hALocation: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 207
WebCast Link: https://usc.zoom.us/webinar/register/WN_FreWz9MXRQ6XUCLTV096hA
Audiences: Everyone Is Invited
Contact: Department of Computer Science
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Six Sigma Black Belt
Thu, Dec 08, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Black Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Black Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's Black belt exam (administered on the final day of the course).
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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Six Sigma Black Belt
Fri, Dec 09, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: USC Viterbi School of Engineering's Six Sigma Black Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Black Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Black Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's Black belt exam (administered on the final day of the course).
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-black-belt/
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ECE Seminar: Improved Cardiac MRI leveraging Spiral bSSFP at 0.55T
Tue, Dec 13, 2022 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ye Tian, Postdoctoral Scholar, Ming Hsieh Dept of ECE, USC
Talk Title: Improved Cardiac MRI leveraging Spiral bSSFP at 0.55T
Abstract: Magnetic Resonance Imaging is a non-invasive, radiation-free medical imaging modality that can provide functional and structural assessments of the cardiovascular system. MRI has trended towards higher field strength and stronger gradient performance which has benefitted high-resolution static imaging of the nervous and musculoskeletal systems. It has not had the same revolutionary impact on imaging of the cardiovascular system, which is constantly in motion, and where image quality is dominated by artifact. Recently, there has been an increasing interest in low-field (< 1.5T) MRI configurations, which are expected to benefit dynamic MRI applications. Low-field systems provide lower susceptibility, lower acoustic noise, lower specific absorption rate, and favorably scaled relaxivities (lower T1 and longer T2/T2*), which open new opportunities.
In this talk, I will present several recent projects focused on improved cardiac MRI at 0.55T. I utilize a prototype whole-body 0.55T MRI (MAGNETOM Aera, Siemens Healthineers) at the Dynamic Imaging Science Center, and variations of spiral balanced steady-state free precession (bSSFP) pulse sequences to achieve imaging that is impossible or extremely difficult at traditional MRI field strengths. These applications include 1) contrast-optimal simultaneous multi-slice imaging of cardiac function, 2) fetal cardiac function and great vessel anatomy evaluation, and 3) dynamic T1-weighted imaging for myocardial perfusion assessment.
Biography: Ye Tian is currently a Postdoctoral Scholar at the University of Southern California and a 0.55T MRI physicist in the Dynamic Imaging Science Center (DISC), working with Professor Krishna Nayak. He completed his Ph.D. training at the University of Utah in September 2019. His research interests include real-time imaging, first-pass myocardial perfusion, simultaneous multi-slice imaging, and novel pulse sequences for cardiovascular assessment at 0.55T.
Host: Dr. Richard Leahy, leahy@sipi.usc.edu
Webcast: https://usc.zoom.us/j/95106798688?pwd=YThYL1c2RTFJemNsV0cwS0pLZ0taUT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/95106798688?pwd=YThYL1c2RTFJemNsV0cwS0pLZ0taUT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
