All Topics (April 1 through June 30) Thursday, April 6 4:00 PM Quantifying similarity and variability in artificial and biological neural networks (Alex Williams -- NYU, Flatiron) Thursday, April 13 4:00 PM Self-Avoiding Models: Polymers and Surfaces (Carl Mueller -- University of Rochester) Thursday, April 20 4:00 PM TBA (James Robins -- Harvard) Thursday, April 27 4:00 PM Function-space regularized divergences and optimal transport for enhanced generative modeling (Markos Katsoulakis -- UMass Amherst) Thursday, May 4 4:00 PM Manifold-integrated Gaussian process modeling, with applications to surrogate modeling of quark-gluon plasma simulations (Simon Mak -- Duke University)