Logo: University of Southern California

Events Calendar



Select a calendar:



Filter June Events by Event Type:



Events for the 4th week of June

  • Repeating Event[Virtual] First-Year Admission Information Session

    Tue, Jun 21, 2022 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Ph.D. Thesis Proposal - Aniruddh G. Puranic

    Wed, Jun 22, 2022 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Candidate: Aniruddh G. Puranic

    Thesis title: Learning from Demonstrations with Temporal Logics

    Committee: Jyotirmoy V. Deshmukh, Stefanos Nikolaidis, Gaurav Sukhatme, Mukund Raghothaman, Somil Bansal, Julie Shah (MIT)

    Date: June 22, 2022 (Wednesday)
    Time: 12pm - 2pm Pacific Time
    Location: SAL 213

    Abstract:

    Learning-from-demonstrations (LfD) is a popular paradigm to obtain effective robot control policies for complex tasks via reinforcement learning without the need to explicitly design reward functions. However, it is susceptible to imperfections in demonstrations and raises concerns of safety and interpretability in the learned control policies. To address these issues, we propose to use Signal Temporal Logic (STL) to express high-level robotic tasks and use its quantitative semantics to evaluate and rank the quality of demonstrations. Temporal logic-based specifications allow us to create non-Markovian rewards and are also capable of defining interesting causal dependencies between tasks such as sequential task specifications. We present our completed work which proposed the LfD-STL framework that learns from even suboptimal/imperfect demonstrations and STL specifications to infer rewards on which reinforcement learning can be performed to obtain control policies. Through numerous experiments, we have shown that our approach outperforms prior LfD methods.

    We then propose further extensions to this framework to develop metrics that provide intuitive explanations about demonstrators' behaviors, which combined with the interpretability of the learned robot policies, can help in building a safe and trusted robotic system for human interaction. As our long-term goals, we plan to use this metric as an optimization function to be used to potentially learn policies that perform better than the (imperfect) demonstrators.

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    WebCast Link: https://usc.zoom.us/j/94560935551?pwd=ejY1UG1xTUZaQWJER1NOOUJNcGhQdz09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • NL Seminar-Weighted Finite-State Transducers: The Later Years

    NL Seminar-Weighted Finite-State Transducers: The Later Years

    Thu, Jun 23, 2022 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Kyle Gorman, Graduate Center, City University of New York and Google Inc.

    Talk Title: Weighted Finite-State Transducers: The Later Years

    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 DOR 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 registration link and online.

    While the deep learning tsunami defines the state of the art in speech and language processing, finite state transducer grammars developed by linguists and engineers are still widely used in highly multilingual settings, particularly for front end speech applications. In this talk, I will first briefly review the current state of the OpenFst and OpenGrm finite state transducer libraries. I will then discuss several recent innovations in the finite state world. These include algorithms for inducing text normalization and grapheme to phoneme grammars from parallel data, heuristic optimization of arbitrary weighted transducers, and an algorithm for efficiently computing the single shortest string of a wider variety of non deterministic weighted acceptors.

    Biography: Kyle Gorman is an assistant professor of linguistics at the Graduate Center, City University of New York, and director of the masters program in computational linguistics. He is also a software engineer in the speech and language algorithms group at Google. With Richard Sproat, he is the coauthor of Finite State Text Processing and the creator of Pynini, a finite state text processing library for Python. He has also published on statistical methods for comparing computational models, text normalization, grapheme to phoneme conversion, and morphological analysis, as well as many topics in linguistic theory.

    Host: Jon May and Thamme Gowda

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

    Webcast: https://www.youtube.com/watch?v=BpEqB3Vj4mM

    Location: Information Science Institute (ISI) - Virtual

    WebCast Link: https://www.youtube.com/watch?v=BpEqB3Vj4mM

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

    Event Link: https://nlg.isi.edu/nl-seminar/

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Repeating Event[Virtual] First-Year Admission Information Session

    Thu, Jun 23, 2022 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Viterbi Admission

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Virtual First-Year Admission Information Session

    Sat, Jun 25, 2022 @ 09:00 AM - 10:00 AM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File