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An adaptive randomized pivoting strategy for low-rank approximation
Presenter
- Alice Cortinovis
February 5, 2026
ICERM
Johan Mathé - Earth System Symmetries: Geometry, Groups, & Limits of Structure in Machine Learning
Presenter
- Johan Mathé
February 2, 2026
IPAM
Fast non-reversible samplers for Bayesian mixture models
Presenter
- Filippo Ascolani
January 14, 2026
ICERM
Recursive estimation for mixtures or why zooming out is a good idea
Presenter
- Bernardo Flores
January 14, 2026
ICERM
Andras Gilyen - Quantum generalizations of Glauber and Metropolis dynamics - IPAM at UCLA
Presenter
- Andras Gilyen
January 12, 2026
IPAM
Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA
Presenter
- Roman Grigoriev
October 10, 2025
IPAM
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Stochastic PDEs and Scaling Limits: III
Presenter
- Hendrik Weber
August 29, 2025
SLMath
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Stochastic PDEs and Scaling Limits: I
Presenter
- Hendrik Weber
August 26, 2025
SLMath
Alex Cloninger - Linearized Optimal Transport to Predict Evolution of Stochastic Particle Systems
Presenter
- Alex Cloninger
July 15, 2025
IPAM