39 citations · 158 across the 36 of their papers we have counts for
Showing 2020 · stat.MLShow all
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stat.ML2020
Implicit bias of any algorithm: bounding bias via margin
Elvis Dohmatob
Consider points in finite-dimensional euclidean space, each having one of two colors. Suppose there exists a separating hyperplane (identified with its unit no…
stat.ML2020
Classifier-independent Lower-Bounds for Adversarial Robustness
Elvis Dohmatob
We theoretically analyse the limits of robustness to test-time adversarial and noisy examples in classification. Our work focuses on deriving bounds which uniformly apply to all cl…
stat.ML2020★ 10 cited
Learning disconnected manifolds: a no GANs land
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob +1
Typical architectures of Generative AdversarialNetworks make use of a unimodal latent distribution transformed by a continuous generator. Consequently, the modeled distribution alw…