Liv Vage: Graph neural nets and reinforcement learning for particle tracking at the LHC
1:11:58
Petar Veličković: Graph Deep Learning: Monoids and time, Embracing asynchrony in (G)NNs
57:52
Nicolas Boulle: Elliptic PDE learning is provably data-efficient
57:33
MIT 6.S191 (2023): Reinforcement Learning
33:04
Generative Model That Won 2024 Nobel Prize
47:44
Tobias Schröder: Energy Discrepancy: Training of Energy-Based Models without Scores or MCMC
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
1:10:40
Public Lecture | Starting From the Bottom: The Hunt for New Physics at the LHC
22:20