Fokker-Planck Equations and Machine Learning (Yuhua Zhu-Stanford)
19:10
Discrepancy Modeling with Physics Informed Machine Learning
21:19
Fokker Planck Equation Derivation: Local Volatility, Ornstein Uhlenbeck, and Geometric Brownian
36:27
Langevin and Fokker Planck equations
1:28:45
Nathan Kutz - The Dynamic Mode Decomposition - A Data-Driven Algorithm
1:07:02
Equivariant networks for symmetric optimization problems - Huyen Pham (University of Paris)
12:58
Understanding scipy.minimize part 1: The BFGS algorithm
20:18
Why Does Diffusion Work Better than Auto-Regression?
13:53