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Kinetic Theory: Novel Statistical, Stochastic and Analytical Methods: Explicit construction of zero loss minimizers and the interpretability problem in Deep Learning
Presenter
- Thomas Chen
October 21, 2025
SLMath
Tatiana Brailovskaya - Matrix concentration and strong convergence - IPAM at UCLA
Presenter
- Tatiana Brailovskaya
February 25, 2025
IPAM
Philippe Di Francesco - Arctic curves for vertex models - IPAM at UCLA
Presenter
- Philippe Di Francesco
May 21, 2024
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability
Presenter
- Alex Markham
October 10, 2023
IMSI
A three-pronged approach to using machine learning in knot theory
Presenter
- Mark Hughes
May 24, 2023
ICERM
David Bowler - Large-scale and linear scaling DFT: why we need it, and how we do it - IPAM at UCLA
Presenter
- David Bowler
March 29, 2023
IPAM
Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA
Presenter
- Jamie Haddock
December 2, 2022
IPAM
Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry
Presenter
- Momme Hell
December 1, 2022
IMSI
Floer Homotopical Methods in Low Dimensional and Symplectic Topology Workshop: Annular Links, Double Branched Covers, and Annular Khovanov Homology
Presenter
- Gage Martin
November 17, 2022
SLMath
Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks
Presenter
- Tom Beucler
November 4, 2022
IMSI