CRM Applied Math Seminar

Mathematics

Audience:	Researchers in the topic
Seminar series time:	Monday 21:00-22:00 in your time zone, UTC
Organizers:	Tim Hoheisel, Jean-Philippe Lessard
Curator:	Virginie Leduc*
	*contact for this listing

Upcoming talks

Past talks

Your time			Speaker	Title
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

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