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20192022
most citedA PAC-Bayesian Generalization Bound for Equivariant Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 2 cited

A PAC-Bayesian Generalization Bound for Equivariant Networks

Arash Behboodi, Gabriele Cesa, Taco Cohen

Equivariant networks capture the inductive bias about the symmetry of the learning task by building those symmetries into the model. In this paper, we study how equivariance relate…

cs.LG2020

A Data and Compute Efficient Design for Limited-Resources Deep Learning

Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen +1

Thanks to their improved data efficiency, equivariant neural networks have gained increased interest in the deep learning community. They have been successfully applied in the medi…

cs.CV2019

General -Equivariant Steerable CNNs

Maurice Weiler, Gabriele Cesa

The big empirical success of group equivariant networks has led in recent years to the sprouting of a great variety of equivariant network architectures. A particular focus has the…