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    • Home
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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

Deep Generative Models

Reproducibility in Deep Learning

------ Break ------

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

Attention & Language

Hidden Physics Models

Qualitative Choices in Representations for Molecules, Materials, and Surfaces


Evann Courdier (Idiap, EPFL)

Richard Liaw (AnyScale, UC Berkeley)

Aditya Grover (Stanford University)

Koustuv Sinha (McGill University)


Balaji Lakshminarayanan, Dustin Tran and Jasper Snoek (Google Brain)

Vivienne Sze (MIT)

Tess Smidt (Berkeley Lab)

Swetha Mandava (NVIDIA)

Rami Al-Rfou (Google Research)

Maziar Raissi (University of Colorado Boulder)

Zachary Ulissi (Carnegie Mellon University)

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