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.
Reproducibility in Deep Learning
Uncertainty and Out-of-Distribution Robustness in Deep Learning
Incorporating Symmetry in Neural Networks (title TBC)
Distributed Large Batch Training [multi-node, multi-gpu] (title TBC)
Attention models (title TBC)
Solving PDEs using Neural Networks (title TBC)
Molecular Representations (title TBC)
Balaji Lakshminarayanan (DeepMind), Jasper Snoek, Dusting Tran (Google Research)
Swetha Mandava (Nvidia)
Rami Alrfou (Google Research)
Maziar Raissi (University of Colorado Boulder)
Zachary Ulissi (Carnegie Mellon University)