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Ensembles provably learn equivariance through data augmentation

Ensembles provably learn equivariance through data augmentation

2 October 2024
Oskar Nordenfors
Axel Flinth
    MLT
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Papers citing "Ensembles provably learn equivariance through data augmentation"

3 / 3 papers shown
Title
How simple can you go? An off-the-shelf transformer approach to molecular dynamics
Max Eissler
Tim Korjakow
Stefan Ganscha
Oliver T. Unke
Klaus-Robert Müller
Stefan Gugler
58
1
0
03 Mar 2025
Data Augmentation and Regularization for Learning Group Equivariance
Oskar Nordenfors
Axel Flinth
47
0
0
10 Feb 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural
  Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
88
1
0
16 Dec 2024
1