Towards Practical and Efficient Neural Data Compression (Stephan Mandt, UC Irvine)
1:13:52
Your Brain on Energy-Based Models (Will Grathwohl, Deepmind)
1:02:49
Attacks and Defenses on ML Privacy (Florian Tramèr, ETH Zurich)
1:24:31
Dr. Miguel Nicolelis, MD, PhD - Linking Brains to Machines
1:12:59
Magic of the Heisenberg Picture - Neil Dowling
41:54
Exploring JPEG AI: The Future of Image Compression with Dr. Elena Alshina
1:53:12
The Elegant Math Behind Machine Learning
1:03:15
Learning to Generate Data by Estimating Gradients of the Data Distribution (Yang Song, Stanford)
32:00