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Equivariance-aware Architectural Optimization of Neural Networks
v1v2v3 (latest)

Equivariance-aware Architectural Optimization of Neural Networks

International Conference on Learning Representations (ICLR), 2022
11 October 2022
Kaitlin Maile
Dennis G. Wilson
Patrick Forré
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Equivariance-aware Architectural Optimization of Neural Networks"

8 / 8 papers shown
Noether's razor: Learning Conserved Quantities
Noether's razor: Learning Conserved QuantitiesNeural Information Processing Systems (NeurIPS), 2024
Tycho F. A. van der Ouderaa
Mark van der Wilk
Pim de Haan
273
5
0
10 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ashwin Samudre
Mircea Petrache
Brian D. Nord
Shubhendu Trivedi
665
7
0
18 Sep 2024
A Generative Model of Symmetry Transformations
A Generative Model of Symmetry Transformations
J. Allingham
Bruno Mlodozeniec
Shreyas Padhy
Javier Antorán
David Krueger
Richard E. Turner
Eric T. Nalisnick
José Miguel Hernández-Lobato
GAN
322
12
0
04 Mar 2024
Efficient Model-Agnostic Multi-Group Equivariant Networks
Efficient Model-Agnostic Multi-Group Equivariant Networks
Razan Baltaji
Sourya Basu
Lav Varshney
271
1
0
14 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Learning Layer-wise Equivariances Automatically using GradientsNeural Information Processing Systems (NeurIPS), 2023
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
379
23
0
09 Oct 2023
Efficient Equivariant Transfer Learning from Pretrained Models
Efficient Equivariant Transfer Learning from Pretrained ModelsNeural Information Processing Systems (NeurIPS), 2023
Sourya Basu
Pulkit Katdare
P. Sattigeri
Vijil Chenthamarakshan
Katherine Driggs Campbell
Payel Das
Lav Varshney
406
13
0
17 May 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
A General Theory of Correct, Incorrect, and Extrinsic EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Dian Wang
Xu Zhu
Jung Yeon Park
Mingxi Jia
Guanang Su
Robert Platt
Robin Walters
450
21
0
08 Mar 2023
Densely Connected $G$-invariant Deep Neural Networks with Signed
  Permutation Representations
Densely Connected GGG-invariant Deep Neural Networks with Signed Permutation RepresentationsJournal of machine learning research (JMLR), 2023
Devanshu Agrawal
James Ostrowski
AI4CE
314
1
0
08 Mar 2023
1
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