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cs.LG2026
A Compression Perspective on Simplicity Bias
Tom Marty, Eric Elmoznino, Leo Gagnon +5
Deep neural networks exhibit a simplicity bias, a well-documented tendency to favor simple functions over complex ones. In this work, we cast new light on this phenomenon through t…
cs.LG2024
Sparsity regularization via tree-structured environments for disentangled representations
Elliot Layne, Jason Hartford, Sébastien Lachapelle +2
Many causal systems such as biological processes in cells can only be observed indirectly via measurements, such as gene expression. Causal representation learning -- the task of c…