Fokker-Planck Equations and Machine Learning (Yuhua Zhu-Stanford)
1:19:47
On Langevin Dynamics in Machine Learning - Michael I. Jordan
21:19
Fokker Planck Equation Derivation: Local Volatility, Ornstein Uhlenbeck, and Geometric Brownian
1:16:48
Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport | Alex Tong
1:14:48
Langevin equation (corrected)
1:07:02
Equivariant networks for symmetric optimization problems - Huyen Pham (University of Paris)
1:28:45
Nathan Kutz - The Dynamic Mode Decomposition - A Data-Driven Algorithm
19:10
Discrepancy Modeling with Physics Informed Machine Learning
36:27