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Symmetry-Breaking Descent for Invariant Cost Functionals
v1v2 (latest)

Symmetry-Breaking Descent for Invariant Cost Functionals

19 May 2025
Mikhail Osipov
ArXiv (abs)PDFHTML

Papers citing "Symmetry-Breaking Descent for Invariant Cost Functionals"

8 / 8 papers shown
Title
Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
Mikhail Osipov
384
2
0
16 Apr 2025
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
898
1,379
0
27 Apr 2021
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
271
104
0
29 Sep 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNNInternational Conference on Machine Learning (ICML), 2019
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
320
440
0
11 Feb 2019
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
1.3K
13,626
0
19 Jun 2017
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
800
2,149
0
24 Feb 2016
Spatial Transformer Networks
Spatial Transformer NetworksNeural Information Processing Systems (NeurIPS), 2015
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
1.4K
7,823
0
05 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
1.4K
20,887
0
20 Dec 2014
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