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ai@NYU
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  • seminars
    • AI RESEARCH SHORT TALKS
    • CILVR SEMINAR SERIES
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    • MATH AND DATA SCIENCE (MAD) SEMINAR
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Past Events

  • Reinforcement learning to align NLG learning objectives with desired model behaviors

    Date: Thursday, March 23, 2023, 02:00PM
    Speaker: Shiyue Zhang, University of North Carolina at Chapel Hill
    Location: 60FA, Room 204
  • What Makes Data Suitable for Deep Learning?

    Date: Wednesday, March 22, 2023, 12:30PM
    Speaker: Nadav Cohen, Tel Aviv University
    Location: 60FA, Room 7th floor
  • Machine Learning-Guided Treatment Discovery and Planning

    Date: Monday, March 20, 2023, 02:00PM
    Speaker: Charlotte Bunne, ETH Zurich
    Location: 60FA, Room 150
  • Co-optimize DNN Arithmetics and Hardware System for Efficient Inference and Training

    Date: Monday, March 20, 2023, 11:00AM
    Speaker: Sai Qian Zhang, Meta Reality Labs
    Location: 370J, Room 825
  • Understanding the Physical World from Images

    Date: Friday, March 17, 2023, 11:00AM
    Speaker: David Fouhey, University of Michigan
    Location: 60FA, Room 150
  • Variational Principles for Mirror Descent and Mirror Langevin Dynamics

    Date: Thursday, March 16, 2023, 02:00PM
    Speaker: Maxim Raginsky, UIUC
    Location: 60FA, Room 150
  • Collaborative, Communal, & Continual Machine Learning

    Date: Thursday, March 16, 2023, 02:00PM
    Speaker: Colin Raffel, UNC Chapel Hill
    Location: 60FA, Room C15
  • Enabling Compositional Generalization of AI Systems

    Date: Wednesday, March 15, 2023, 02:00PM
    Speaker: Shuang Li, MIT
    Location: 60FA, Room 150
  • Designing and Evaluating Language Models for Human Interaction

    Date: Tuesday, March 14, 2023, 02:00PM
    Speaker: Mina Lee, Stanford University
    Location: 60FA, Room 150
  • Representations in Robot Manipulation: Learning to Manipulate Cables, Fabrics, Bags, Liquids, and Plants

    Date: Monday, March 13, 2023, 02:00PM
    Speaker: Daniel Seita, CMU
    Location: 60FA, Room 150
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New York University is committed to maintaining an environment that encourages and fosters respect for individual values and appropriate conduct among all persons. In all University spaces—physical and digital—programming, activities, and events are carried out in accordance with applicable law as well as University policy, which includes but is not limited to its Non-Discrimination and Anti-Harassment Policy.