Towards Practical and Efficient Neural Data Compression (Stephan Mandt, UC Irvine)
1:01:10
Denoising Diffusion Models: Generative Models of Modern Deep Learning Era (Arash Vahdat, NVIDIA)
59:57
Three Facets of Understanding Pre-training (Tengyu Ma, Stanford)
1:21:37
A new way to understand quantum - with Bob Coecke
1:53:12
The Elegant Math Behind Machine Learning
1:01:10
EPFL AI Center x CLAIRE - Structured State Space Models for Deep Sequence Modeling - Prof. Albert Gu
21:06
Robust and Adaptive Deep Learning via Bayesian Principles (AAAI 2023 New Faculty Highlights)
1:04:56
Beyond Equilibrium Learning (Chi Jin, Princeton)
54:13