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Group Equivariant Convolutional Networks
v1v2v3 (latest)

Group Equivariant Convolutional Networks

24 February 2016
Taco S. Cohen
Max Welling
    BDL
ArXiv (abs)PDFHTML

Papers citing "Group Equivariant Convolutional Networks"

50 / 1,262 papers shown
Learning Lie Group Symmetry Transformations with Neural Networks
Learning Lie Group Symmetry Transformations with Neural Networks
Alex Gabel
Victoria G Klein
Riccardo Valperga
J. Lamb
K. Webster
Rick Quax
E. Gavves
299
7
0
04 Jul 2023
Restore Translation Using Equivariant Neural Networks
Restore Translation Using Equivariant Neural NetworksInternational Conference on Neural Information Processing (ICONIP), 2023
Yihan Wang
Lijia Yu
Xiao-Shan Gao
149
0
0
29 Jun 2023
DUET: 2D Structured and Approximately Equivariant Representations
DUET: 2D Structured and Approximately Equivariant RepresentationsInternational Conference on Machine Learning (ICML), 2023
Xavier Suau
Federico Danieli
Thomas Anderson Keller
Arno Blaas
Chen Huang
Jason Ramapuram
Dan Busbridge
Luca Zappella
211
3
0
28 Jun 2023
Asynchronous Algorithmic Alignment with Cocycles
Asynchronous Algorithmic Alignment with CocyclesLOG IN (LOG IN), 2023
Andrew Dudzik
Tamara von Glehn
Razvan Pascanu
Petar Velivcković
427
17
0
27 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
414
3
0
26 Jun 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint
  Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Hong Wang
Minghao Zhou
Dong Wei
Yuexiang Li
Yefeng Zheng
174
10
0
25 Jun 2023
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis
Regular SE(3) Group Convolutions for Volumetric Medical Image AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
T. Kuipers
Erik J. Bekkers
145
6
0
24 Jun 2023
Learning from Pixels with Expert Observations
Learning from Pixels with Expert ObservationsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
M. Hoang
Long Dinh
Hai V. Nguyen
OffRL
361
3
0
24 Jun 2023
Manifold Contrastive Learning with Variational Lie Group Operators
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah
Alec Helbling
Kyle A. Johnsen
Christopher Rozell
SSLDRL
241
1
0
23 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes
Practical Equivariances via Relational Conditional Neural ProcessesNeural Information Processing Systems (NeurIPS), 2023
Daolang Huang
Manuel Haussmann
Ulpu Remes
S. T. John
Grégoire Clarté
K. Luck
Samuel Kaski
Luigi Acerbi
BDL
384
12
0
19 Jun 2023
Modularity Trumps Invariance for Compositional Robustness
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
236
1
0
15 Jun 2023
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie
  Group-CNNs)
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)
Weizheng Qiao
Yang Xu
Hui Li
199
2
0
12 Jun 2023
$E(2)$-Equivariant Vision Transformer
E(2)E(2)E(2)-Equivariant Vision TransformerConference on Uncertainty in Artificial Intelligence (UAI), 2023
Renjun Xu
Kaifan Yang
Ke Liu
Fengxiang He
ViTMDE
264
21
0
11 Jun 2023
On Robot Grasp Learning Using Equivariant Models
On Robot Grasp Learning Using Equivariant ModelsAutonomous Robots (Auton. Robots), 2023
Xu Zhu
Dian Wang
Guanang Su
Ondrej Biza
Robin Walters
Robert Platt
254
20
0
10 Jun 2023
Any-dimensional equivariant neural networks
Any-dimensional equivariant neural networksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Eitan Levin
Mateo Díaz
210
9
0
10 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential
  Equations
Group Equivariant Fourier Neural Operators for Partial Differential EquationsInternational Conference on Machine Learning (ICML), 2023
Jacob Helwig
Xuan Zhang
Cong Fu
Jerry Kurtin
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
275
42
0
09 Jun 2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and
  Motion Estimation
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationNeural Information Processing Systems (NeurIPS), 2023
Jianqi Zhong
Ta-Ying Cheng
Yuhang He
Kai Lu
Kaichen Zhou
Andrew Markham
Niki Trigoni
3DPC
292
2
0
08 Jun 2023
Representing and Learning Functions Invariant Under Crystallographic
  Groups
Representing and Learning Functions Invariant Under Crystallographic Groups
Ryan P. Adams
Peter Orbanz
225
5
0
08 Jun 2023
Normalization-Equivariant Neural Networks with Application to Image
  Denoising
Normalization-Equivariant Neural Networks with Application to Image DenoisingNeural Information Processing Systems (NeurIPS), 2023
Sébastien Herbreteau
E. Moebel
Charles Kervrann
255
14
0
08 Jun 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Stochastic Marginal Likelihood Gradients using Neural Tangent KernelsInternational Conference on Machine Learning (ICML), 2023
Alexander Immer
Tycho F. A. van der Ouderaa
Mark van der Wilk
Gunnar Rätsch
Bernhard Schölkopf
BDL
231
15
0
06 Jun 2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the
  Sphere
Spherical Fourier Neural Operators: Learning Stable Dynamics on the SphereInternational Conference on Machine Learning (ICML), 2023
Boris Bonev
Thorsten Kurth
Christian Hundt
Jaideep Pathak
Maximilian Baust
K. Kashinath
Anima Anandkumar
AI4ClAI4CE
241
239
0
06 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic
  Equivariance
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Jinwoo Kim
Tien Dat Nguyen
Ayhan Suleymanzade
Hyeokjun An
Seunghoon Hong
404
28
0
05 Jun 2023
How neural networks learn to classify chaotic time series
How neural networks learn to classify chaotic time seriesChaos (Chaos), 2023
Alessandro Corbetta
T. D. Jong
AI4TS
78
2
0
04 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial OptimizationInternational Conference on Machine Learning (ICML), 2023
Hyeon-Seob Kim
Minsu Kim
SungSoo Ahn
Jinkyoo Park
OffRL
444
9
0
02 Jun 2023
Is novelty predictable?
Is novelty predictable?Cold Spring Harbor Perspectives in Biology (Cold Spring Harb Perspect Biol), 2023
Clara Fannjiang
Jennifer Listgarten
AI4CE
203
15
0
01 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries
Regularizing Towards Soft Equivariance Under Mixed SymmetriesInternational Conference on Machine Learning (ICML), 2023
Hyunsung Kim
Hyungi Lee
Hongseok Yang
Juho Lee
314
13
0
01 Jun 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models
Spontaneous Symmetry Breaking in Generative Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
G. Raya
Luca Ambrogioni
DiffM
309
52
0
31 May 2023
Morphological Classification of Radio Galaxies using Semi-Supervised
  Group Equivariant CNNs
Morphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs
Mir Sazzat Hossain
Sugandha Roy
K. Asad
A. Momen
Amin Ahsan Ali
D. Sciences
Radio Research Group
81
1
0
31 May 2023
Group Invariant Global Pooling
Group Invariant Global Pooling
Kamil Bujel
Yonatan Gideoni
Chaitanya K. Joshi
Pietro Lio
172
0
0
30 May 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight
SO(2)-Equivariant Downwash Models for Close Proximity FlightIEEE Robotics and Automation Letters (RA-L), 2023
Henry Smith
Ajay Shankar
Jennifer Gielis
J. Blumenkamp
A. Prorok
316
10
0
30 May 2023
Subequivariant Graph Reinforcement Learning in 3D Environments
Subequivariant Graph Reinforcement Learning in 3D EnvironmentsInternational Conference on Machine Learning (ICML), 2023
Runfa Chen
Jiaqi Han
Gang Hua
Wen-bing Huang
OffRL
159
13
0
30 May 2023
Task-Equivariant Graph Few-shot Learning
Task-Equivariant Graph Few-shot LearningKnowledge Discovery and Data Mining (KDD), 2023
Sungwon Kim
Junseok Lee
Namkyeong Lee
Wonjoon Kim
Seung-Deok Choi
Chanyoung Park
460
11
0
30 May 2023
Learning Linear Groups in Neural Networks
Learning Linear Groups in Neural Networks
Emmanouil Theodosis
Karim Helwani
Demba E. Ba
AI4CE
149
0
0
29 May 2023
A Rainbow in Deep Network Black Boxes
A Rainbow in Deep Network Black Boxes
Florentin Guth
Brice Ménard
G. Rochette
S. Mallat
339
19
0
29 May 2023
Neural Fourier Transform: A General Approach to Equivariant
  Representation Learning
Neural Fourier Transform: A General Approach to Equivariant Representation LearningInternational Conference on Learning Representations (ICLR), 2023
Masanori Koyama
Kenji Fukumizu
Kunihiko Miyoshi
Takeru Miyato
293
9
0
29 May 2023
Geometric Algebra Transformer
Geometric Algebra TransformerNeural Information Processing Systems (NeurIPS), 2023
Johann Brehmer
P. D. Haan
S. Behrends
Taco S. Cohen
312
50
0
28 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Approximation-Generalization Trade-offs under (Approximate) Group EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Mircea Petrache
Shubhendu Trivedi
364
39
0
27 May 2023
Flow Matching for Scalable Simulation-Based Inference
Flow Matching for Scalable Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023
Maximilian Dax
J. Wildberger
Simon Buchholz
Stephen R. Green
Jakob H. Macke
Bernhard Schölkopf
172
95
0
26 May 2023
Investigating how ReLU-networks encode symmetries
Investigating how ReLU-networks encode symmetriesNeural Information Processing Systems (NeurIPS), 2023
Georg Bökman
Fredrik Kahl
232
8
0
26 May 2023
Sample Efficient Reinforcement Learning in Mixed Systems through
  Augmented Samples and Its Applications to Queueing Networks
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing NetworksNeural Information Processing Systems (NeurIPS), 2023
Honghao Wei
Xin Liu
Weina Wang
Lei Ying
222
10
0
25 May 2023
Making Vision Transformers Truly Shift-Equivariant
Making Vision Transformers Truly Shift-EquivariantComputer Vision and Pattern Recognition (CVPR), 2023
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
327
19
0
25 May 2023
Learning Lagrangian Fluid Mechanics with E($3$)-Equivariant Graph Neural
  Networks
Learning Lagrangian Fluid Mechanics with E(333)-Equivariant Graph Neural NetworksInternational Conference on Geometric Science of Information (GSI), 2023
Artur Toshev
Gianluca Galletti
Johannes Brandstetter
Stefan Adami
Nikolaus A. Adams
AI4CE
202
11
0
24 May 2023
The Larger They Are, the Harder They Fail: Language Models do not
  Recognize Identifier Swaps in Python
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in PythonAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Antonio Valerio Miceli Barone
Fazl Barez
Ioannis Konstas
Shay B. Cohen
155
39
0
24 May 2023
Sorted Convolutional Network for Achieving Continuous Rotational
  Invariance
Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Hanlin Mo
Guoying Zhao
114
0
0
23 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsNeural Information Processing Systems (NeurIPS), 2023
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
284
7
0
23 May 2023
Neural Functional Transformers
Neural Functional TransformersNeural Information Processing Systems (NeurIPS), 2023
Allan Zhou
Kaien Yang
Yiding Jiang
Kaylee Burns
Winnie Xu
Samuel Sokota
J. Zico Kolter
Chelsea Finn
257
43
0
22 May 2023
Subspace-Configurable Networks
Subspace-Configurable Networks
Dong Wang
O. Saukh
Xiaoxi He
Lothar Thiele
OOD
279
0
0
22 May 2023
Statistical Guarantees of Group-Invariant GANs
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
615
5
0
22 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative
  Metrics
Enriching Disentanglement: From Logical Definitions to Quantitative MetricsNeural Information Processing Systems (NeurIPS), 2023
Yivan Zhang
Masashi Sugiyama
286
2
0
19 May 2023
Reciprocal Attention Mixing Transformer for Lightweight Image
  Restoration
Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
Haram Choi
Cheolwoong Na
Jihyeon Oh
Seungjae Lee
Jinseop S. Kim
Subeen Choe
Jeongmin Lee
Taehoon Kim
Jihoon Yang
353
24
0
19 May 2023
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