26 citations · 38 across the 8 of their papers we have counts for
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cs.LG2021★ 4 cited
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal, Aaron Lou, Leonidas Guibas +1
Disobeying the classical wisdom of statistical learning theory, modern deep neural networks generalize well even though they typically contain millions of parameters. Recently, it…
stat.ML2021
Equivariant Manifold Flows
Isay Katsman, Aaron Lou, Derek Lim +3
Tractably modelling distributions over manifolds has long been an important goal in the natural sciences. Recent work has focused on developing general machine learning models to l…