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Using symmetry as an inductive bias in deep learning has been proven to be a principled approach for sample-efficient model design.
Symmetry
Hermann Weyl · 1952
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Curie’s principle
Alan F Chalmers · 1970
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Building symmetries into feedforward networks
J. Shawe-Taylor · 1989
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The symmetry perspective: from equilibrium to chaos in phase space and physical space , volume 200
Martin Golubitsky and Ian Stewart · 2002
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The elements of statistical learning: data mining, inference, and prediction , volume 2
Trevor Hastie, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman · 2009
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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A book of abstract algebra
Charles C Pinter · 2010
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Your dataset is a multiset and you should compress it like one
Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani, and Karen Ullrich · 2021
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Multiset-equivariant set prediction with approximate implicit differentiation
Yan Zhang, David W Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, and Cees G. M. Snoek · 2022
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Sur la symétrie dans les phénomènes physiques, symétrie d’un champ électrique et d’un champ magnétique
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