Recorded Talks

  • Evaluating AI-based MR image reconstruction models: lessons from the fastMRI project

    Matthew Muckley

  • A Data-Centric View On Robustness

    Ludwig Schmidt (University of Washington)

  • On the Power of Differentiable Learning

    Nathan Srebro (Toyota Technological Institute at Chicago)

  • Yes, Generative Models are the New Sparsity

    Alex Dimakis, UT Austin

  • The Surprising Power of the Lenstra-Lenstra-Lovasz Algorithm for Noiseless Inference

    Ilias Zadik (MIT)

  • Learning and Optimization With Adaptive Smoothed Adversaries

    Nika Haghtalab (UC Berkeley)

  • Scalable and Reliable Inference for Probabilistic Modeling

    Ruqi Zhang (UT Austin)

  • The Planted Matching Problem: Sharp Threshold and Infinite-Order Phase Transition

    Dana Yang (Simons Institute)

  • Function Space View of Bounded Weight Norm Networks

    Suriya Gunasekar (Microsoft Research)

  • Optimal Control for Electroceutical Therapies

    Joshua Chang, M.D., Ph.D., Assistant Professor, Department of Neurology, The University of Texas at Austin