Invariant Representation Learning for Causal Extrapolations

Sponsors: NSF CAREER:#1943364 and The Wabash Heartland Innovation Network

Scroll below for tutorials, datasets, and exploring invariances for causal extrapolations.


G-Invariant Neural Networks:
A complete beginner's guide with step-by-step examples

In this step-by-step tutorial we introduce the mathematical foundations of the most common type of group-invariant representation learning. Examples include learning invariant representations of graphs and images.

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