| Mon | Dec 12 | 21:00 | Test | test | |
| Mon | Dec 05 | 21:00 | Stephanie Dodson | TBA | |
| Mon | Nov 28 | 21:00 | Kimon Fountoulakis | TBA | |
| Mon | Nov 21 | 21:00 | Ashwin Pananjady | TBA | |
| Mon | Nov 14 | 20:00 | Tatiana Bubba | TBA | |
| Mon | Nov 07 | 21:00 | Serge Prudhomme | TBA | |
| Mon | Oct 24 | 20:00 | Robert Baraldi | TBA | |
| Mon | Oct 17 | 20:00 | Nicola Guglielmi | TBA | |
| Mon | Oct 03 | 20:00 | David Goluskin | Verifying global stability of fluid flows despite transient growth of energy | |
| Mon | Sep 26 | 20:00 | Akitoshi Takayasu | A general approach for rigorously integrating PDEs using semigroup theory | |
| Mon | Sep 19 | 20:00 | Quentin Bertrand | Implicit Differentiation in Non-Smooth Convex Learning | |
| Mon | Sep 12 | 20:00 | James Forbes | Regularization Techniques in Koopman-based System Identification | |
| Thu | May 19 | 20:00 | Bruno Després | Neural Networks from the viewpoint of Numerical Analysis | |
| Mon | Apr 11 | 20:00 | Giang Tran | Sparse Random Feature Models: Theoretical Guarantees and Applications | |
| Mon | Apr 04 | 20:00 | Soledad Villar | Units-equivariant machine learning | |
| Mon | Mar 28 | 20:00 | Tom Trogdon | Perturbations of orthogonal polynomials: Riemann-Hilbert problems, random matrices and numerical linear algebra | |
| Mon | Mar 21 | 20:00 | Margarida Carvalho | Mathematical Programming Games: pushing the limits of equilibria computation | |
| Mon | Mar 14 | 20:00 | Anna Ma | The Kaczmarz Algorithm: Greed, Randomness, and Tensors | |
| Mon | Mar 07 | 21:00 | Guy Wolf | TBA | |
| Mon | Feb 21 | 21:00 | Tom Trogdon | TBA | |
| Mon | Feb 14 | 21:00 | Sebastien Le Digabel | TBA | |
| Mon | Feb 07 | 21:00 | Fabian Pedregosa | Efficient and Modular Implicit Differentiation | |
| Mon | Jan 24 | 21:00 | David Rolnick | Expressivity and learnability in deep neural networks | |
| Mon | Jan 17 | 21:00 | Matus Benko | Variational Analysis: Basics, Calculus, and Semismoothness* | |
| Mon | Jan 10 | 21:00 | Alex Bihlo | Deep neural networks for solving differential equations on general orientable surfaces | |
| Mon | Dec 06 | 21:00 | Haesun Park | Multi-view Unsupervised and Semi-Supervised Clustering based on Content and Connection Information | |
| Mon | Nov 29 | 21:00 | Andrus Giraldo | Degenerate singular cycles and chaotic switching in the two-site open Bose--Hubbard model | |
| Mon | Nov 22 | 21:00 | Soizic Terrien | Equidistant and non equidistant pulsing patterns in an excitable microlaser with delayed feedback | |
| Mon | Nov 15 | 21:00 | Wolfgang Dahmen | Some Thoughts on Physics Informed Neural Networks | |
| Mon | Nov 08 | 21:00 | Rainer Groh | Experimental continuation of nonlinear load-bearing structures | |
| Mon | Nov 01 | 20:00 | Frank E. Curtis | Algorithms for Deterministically Constrained Stochastic Optimization | |
| Mon | Oct 25 | 20:00 | Aaron Berk | On LASSO parameter sensitivity | |
| Mon | Oct 18 | 20:00 | Terry Rockafellar | Hidden convexity in nonconvex optimization | |
| Mon | Oct 04 | 20:00 | Jason Bramburger | Deep learning of conjugate mappings | |
| Mon | Sep 27 | 18:30 | Gitta Kutyniok | The Modern Mathematics of Deep Learning | |
| Mon | Sep 20 | 20:00 | Diane Guignard | Nonlinear reduced models for parametric PDEs | |
| Mon | Sep 13 | 18:30 | Daniel Kuhn | Mathematical Foundations of Robust and Distributionally Robust Optimization | |
| Mon | Jun 14 | 20:00 | test | test | |
| Mon | Apr 12 | 20:00 | Sasha Aravkin | A tale of two models for Covid-19 scenarios | |
| Mon | Mar 22 | 20:00 | Olga Mula | Depth-Adaptive Neural Networks from the Optimal Control viewpoint | |
| Mon | Mar 15 | 20:00 | Clarice Poon | Off-the-grid sparse estimation | |
| Mon | Mar 08 | 21:00 | Paul E. Hand | Signal Recovery with Generative Priors | |
| Mon | Feb 22 | 21:00 | Heinz Bauschke | Compositions of projection mappings: fixed point sets and difference vectors | |
| Mon | Feb 15 | 21:00 | Patrick Combettes | Perspective Functions and Applications | |
| Mon | Feb 08 | 21:00 | Marwa El Halabi | Optimal approximation for unconstrained non-submodular minimization | |
| Mon | Feb 01 | 21:00 | Zhaojun Bai | Rayleigh quotient optimizations and eigenvalue problems | |
| Mon | Jan 25 | 21:00 | Nathan Kutz | Targeted use of deep learning for physics and engineering | |
| Mon | Jan 18 | 21:00 | Michael P. Friedlander | Polar deconvolution of mixed signals | |
| Mon | Jan 11 | 21:00 | Tim Hoheisel | Halting Time is Predictable for Large Models: A Universality Property and Average-case Analysis | |
| Mon | Nov 30 | 21:00 | Damek Davis | Nonconvex Optimization for Estimation and Learning: Dynamics, Conditioning, and Nonsmoothness | |
| Mon | Nov 23 | 21:00 | Thomas Surowiec | A Primal-Dual Algorithm for Risk Minimization in PDE-Constrained Optimization | |
| Mon | Nov 16 | 21:00 | Heather Harrington | Algebraic Systems Biology | |
| Mon | Oct 26 | 20:00 | Johannes Royset | Variational Perspectives on Mathematical Optimization | |
| Mon | Oct 19 | 20:00 | Sheehan Olver | Sparse Spectral Methods for Power-Law Interactions | |
| Mon | Oct 05 | 20:00 | David Russell Luke | Optimization on Spheres : Models and Proximal Algorithms with Computational Performance Comparisons | |
| Mon | Sep 28 | 20:00 | Yuji Nakatsukasa | Fast and stable randomized low-rank matrix approximation | |
| Mon | Sep 21 | 18:30 | Stephen Becker | Algorithmic stability for generalization guarantees in machine learning | |
| Mon | Jun 29 | 20:00 | Theodore Kolokolnikov | Simple agent-based models and their continuum limit | |
| Mon | Jun 22 | 20:00 | Bamdad Hosseini | Data-driven supervised learning: Neural networks and uncertainty quantification | |
| Mon | May 11 | 20:00 | Thomas Bury | Detecting and distinguishing bifurcations from noisy time series data | |
| Mon | Apr 27 | 20:00 | Alex Townsend | The ultraspherical spectral method | |
