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On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

11 February 2018
Risi Kondor
Shubhendu Trivedi
    MLT
ArXivPDFHTML

Papers citing "On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups"

50 / 320 papers shown
Title
Group Downsampling with Equivariant Anti-aliasing
Group Downsampling with Equivariant Anti-aliasing
Md Ashiqur Rahman
Raymond A. Yeh
67
1
0
24 Apr 2025
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump
48
0
0
14 Mar 2025
SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres
Francesco Ballerin
Nello Blaser
E. Grong
62
0
0
13 Mar 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
B. U. Demirel
Christian Holz
OOD
AI4TS
74
0
0
27 Feb 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li
Zaishuo Xia
Lin Huang
Xinran Wei
Han Yang
...
Zun Wang
Chang-Shu Liu
Jia Zhang
Bin Shao
Mark B. Gerstein
74
0
0
26 Feb 2025
MatrixNet: Learning over symmetry groups using learned group representations
MatrixNet: Learning over symmetry groups using learned group representations
Lucas Laird
Circe Hsu
Asilata Bapat
Robin Walters
AI4CE
43
0
0
17 Jan 2025
Equivariant Action Sampling for Reinforcement Learning and Planning
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
96
2
0
16 Dec 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient
  Recognition and Generation
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
Anil Kag
Huseyin Coskun
Jierun Chen
Junli Cao
Willi Menapace
Aliaksandr Siarohin
Sergey Tulyakov
Jian Ren
46
3
0
07 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element
  Likelihoods
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
Daniel Maître
Vishal S. Ngairangbam
M. Spannowsky
29
4
0
24 Oct 2024
On the VC dimension of deep group convolutional neural networks
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia
S. Langer
Johannes Schmidt-Hieber
MLT
28
0
0
21 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Yonatan Sverdlov
Ido Springer
Nadav Dym
32
2
0
09 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groups
B. Kiani
Lukas Fesser
Melanie Weber
GNN
40
1
0
07 Oct 2024
Ensembles provably learn equivariance through data augmentation
Ensembles provably learn equivariance through data augmentation
Oskar Nordenfors
Axel Flinth
MLT
31
3
0
02 Oct 2024
On the universality of neural encodings in CNNs
On the universality of neural encodings in CNNs
Florentin Guth
Brice Ménard
SSL
50
5
0
28 Sep 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Ashwin Samudre
Mircea Petrache
Brian D. Nord
Shubhendu Trivedi
44
2
0
18 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation
Improving Equivariant Model Training via Constraint Relaxation
Stefanos Pertigkiozoglou
Evangelos Chatzipantazis
Shubhendu Trivedi
Kostas Daniilidis
39
4
0
23 Aug 2024
Relaxed Rotational Equivariance via $G$-Biases in Vision
Relaxed Rotational Equivariance via GGG-Biases in Vision
Zhiqiang Wu
Licheng Sun
Yingjie Liu
Jian Yang
Hanlin Dong
S. J. Lin
Xuan Tang
Jinpeng Mi
Bo Jin
Xian Wei
31
0
0
22 Aug 2024
Optimal Symmetries in Binary Classification
Optimal Symmetries in Binary Classification
Vishal S. Ngairangbam
M. Spannowsky
34
1
0
16 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through
  The Lens of Equivariant Multi-layered CKNs
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
Soutrik Roy Chowdhury
38
0
0
08 Aug 2024
The Selective G-Bispectrum and its Inversion: Applications to
  G-Invariant Networks
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
Simon Mataigne
Johan Mathe
Sophia Sanborn
Christopher Hillar
Nina Miolane
28
0
0
10 Jul 2024
Understanding the Role of Invariance in Transfer Learning
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSL
OOD
40
1
0
05 Jul 2024
Learning Color Equivariant Representations
Learning Color Equivariant Representations
Felix O'Mahony
Yulong Yang
Christine Allen-Blanchette
28
0
0
13 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and
  Efficiency
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin
Jacob Helwig
Shurui Gui
Shuiwang Ji
39
7
0
11 Jun 2024
Equivariant Neural Tangent Kernels
Equivariant Neural Tangent Kernels
Philipp Misof
Pan Kessel
Jan E. Gerken
50
0
0
10 Jun 2024
FlowMM: Generating Materials with Riemannian Flow Matching
FlowMM: Generating Materials with Riemannian Flow Matching
Benjamin Kurt Miller
Ricky T. Q. Chen
Anuroop Sriram
Brandon M. Wood
29
32
0
07 Jun 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Javier Maass Martínez
Joaquin Fontbona
FedML
MLT
35
2
0
30 May 2024
Transport of Algebraic Structure to Latent Embeddings
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
29
0
0
27 May 2024
Enhancing lattice kinetic schemes for fluid dynamics with
  Lattice-Equivariant Neural Networks
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
Giulio Ortali
Alessandro Gabbana
Imre Atmodimedjo
Alessandro Corbetta
AI4CE
68
1
0
22 May 2024
Spectral Convolutional Conditional Neural Processes
Spectral Convolutional Conditional Neural Processes
Peiman Mohseni
Nick Duffield
27
3
0
19 Apr 2024
Symmetry: a General Structure in Nonparametric Regression
Symmetry: a General Structure in Nonparametric Regression
Louis Christie
John A. D. Aston
34
0
0
19 Apr 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random
  Hierarchy Model
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto M. Tomasini
M. Wyart
BDL
35
7
0
16 Apr 2024
Equivariant graph convolutional neural networks for the representation
  of homogenized anisotropic microstructural mechanical response
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
Ravi G. Patel
C. Safta
Reese E. Jones
AI4CE
35
1
0
05 Apr 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
Sotirios Panagiotis Chytas
Vishnu Suresh Lokhande
Peiran Li
Vikas Singh
OOD
30
0
0
05 Mar 2024
Structure Preserving Diffusion Models
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
59
2
0
29 Feb 2024
A unified Fourier slice method to derive ridgelet transform for a
  variety of depth-2 neural networks
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
41
4
0
25 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for
  Arbitrary Matrix Groups
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
Sourya Basu
Suhas Lohit
Matthew Brand
34
0
0
23 Feb 2024
Geometry-Informed Neural Networks
Geometry-Informed Neural Networks
Arturs Berzins
Andreas Radler
Sebastian Sanokowski
Sepp Hochreiter
Johannes Brandstetter
GAN
AI4CE
38
1
0
21 Feb 2024
Global optimality under amenable symmetry constraints
Global optimality under amenable symmetry constraints
Peter Orbanz
15
0
0
12 Feb 2024
Universal Neural Functionals
Universal Neural Functionals
Allan Zhou
Chelsea Finn
James Harrison
27
12
0
07 Feb 2024
Equivariant Symmetry Breaking Sets
Equivariant Symmetry Breaking Sets
YuQing Xie
Tess E. Smidt
25
4
0
05 Feb 2024
Equivariant Manifold Neural ODEs and Differential Invariants
Equivariant Manifold Neural ODEs and Differential Invariants
Emma Andersdotter
Fredrik Ohlsson
26
0
0
25 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise
  Activations
A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
36
2
0
17 Jan 2024
Scalable Normalizing Flows Enable Boltzmann Generators for
  Macromolecules
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules
Joseph C. Kim
David Bloore
Karan Kapoor
Jun Feng
Ming-Hong Hao
Mengdi Wang
37
7
0
08 Jan 2024
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in
  Image Restoration
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
J. Fu
Qi Xie
Deyu Meng
Zongben Xu
13
4
0
25 Dec 2023
Harmonics of Learning: Universal Fourier Features Emerge in Invariant
  Networks
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
G. Marchetti
Christopher Hillar
Danica Kragic
Sophia Sanborn
17
12
0
13 Dec 2023
Topological Obstructions and How to Avoid Them
Topological Obstructions and How to Avoid Them
Babak Esmaeili
Robin G. Walters
Heiko Zimmermann
Jan Willem van de Meent
AI4CE
24
3
0
12 Dec 2023
Grokking Group Multiplication with Cosets
Grokking Group Multiplication with Cosets
Dashiell Stander
Qinan Yu
Honglu Fan
Stella Biderman
33
9
0
11 Dec 2023
Learning to be Simple
Learning to be Simple
Yang-Hui He
Vishnu Jejjala
Challenger Mishra
Max Sharnoff
17
0
0
08 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim
Joshua Robinson
Stefanie Jegelka
Haggai Maron
71
16
0
04 Dec 2023
Affine Invariance in Continuous-Domain Convolutional Neural Networks
Affine Invariance in Continuous-Domain Convolutional Neural Networks
A. Mohaddes
Johannes Lederer
15
1
0
13 Nov 2023
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