Agenda
The webinar sessions will be held every Thursday at 9:30-11am Pacific Time live on Zoom (register to receive updates and zoom link), recordings will be posted on YouTube for those who can't attend at that time.
Starting date: July 9th (offline Q&A on introductory material).
All recordings will be available on YouTube.
Agenda:
Jul 9
Jul 16
Jul 23
Jul 30
Aug 6
Aug 13
Aug 20
Aug 27
Sep 3
Sep 10
Sep 17
Sep 24
Oct 1
Intro Week
A Shallow Introduction to Deep Learning with PyTorch
A Modern Guide to Hyperparameter Optimization
Reproducibility in Deep Learning
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Uncertainty and Out-of-Distribution Robustness in Deep Learning
How to Evaluate Efficient Deep Neural Network Approaches
Symmetry and Equivariance in Neural Networks
Distributed Large Batch Training
Solving PDEs using Neural Networks (title TBC)
Molecular Representations (title TBC)
Richard Liaw (AnyScale, UC Berkeley)
Aditya Grover (Stanford University)
Koustuv Sinha (McGill University)
Balaji Lakshminarayanan, Dustin Tran and Jasper Snoek (Google Brain)
Rami Al-Rfou (Google Research)
Maziar Raissi (University of Colorado Boulder)
Zachary Ulissi (Carnegie Mellon University)