1:01:34

DDPS | Parameter Subset Selection and Active Subspace Techniques for Engineering & Biological Models

1:07:35

DDPS | 'Probabilistic methods for data-driven reduced-order modeling'

54:56

Terence Tao, "Machine Assisted Proof"

1:17:33

DDPS | “A first-principles approach to understanding deep learning”

1:10:14

Evolution of Diffusion Models: From Birth to Enhanced Efficiency and Controllability

28:50

ROM introduction

1:21:50

François Chollet on OpenAI o-models and ARC

58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training