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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 / 1,261 papers shown
GERD: Geometric event response data generation
GERD: Geometric event response data generation
Jens Egholm Pedersen
Dimitris Korakovounis
Jorg Conradt
VGen
299
1
0
04 Dec 2024
Scale Invariance of Graph Neural Networks
Scale Invariance of Graph Neural Networks
Qin Jiang
Chengjia Wang
Michael Lones
Wei Pang
GNN
402
0
0
28 Nov 2024
On the Reconstruction of Training Data from Group Invariant Networks
On the Reconstruction of Training Data from Group Invariant Networks
Ran Elbaz
Gilad Yehudai
Meirav Galun
Haggai Maron
245
0
0
25 Nov 2024
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach
Weiyi Gong
Tao Sun
Hexin Bai
Jeng-Yuan Tsai
Haibin Ling
Q. Yan
259
4
0
25 Nov 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
707
5
0
23 Nov 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth
  Estimation
SE(3)SE(3)SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth EstimationNeural Information Processing Systems (NeurIPS), 2024
Yinshuang Xu
Dian Chen
Katherine Liu
Sergey Zakharov
Rares Andrei Ambrus
Kostas Daniilidis
Vitor Campagnolo Guizilini
MDE
263
7
0
11 Nov 2024
Understanding the Role of Equivariance in Self-supervised Learning
Understanding the Role of Equivariance in Self-supervised LearningNeural Information Processing Systems (NeurIPS), 2024
Yifei Wang
Kaiwen Hu
Sharut Gupta
Ziyu Ye
Yisen Wang
Stefanie Jegelka
SSL
314
6
0
10 Nov 2024
LoFi: Neural Local Fields for Scalable Image Reconstruction
LoFi: Neural Local Fields for Scalable Image ReconstructionIEEE Transactions on Computational Imaging (TCI), 2024
AmirEhsan Khorashadizadeh
T. Liaudat
Tianlin Liu
Jason D. McEwen
Ivan Dokmanić
SupR
276
0
0
07 Nov 2024
Harmformer: Harmonic Networks Meet Transformers for Continuous
  Roto-Translation Equivariance
Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
Tomáš Karella
Adam Harmanec
J. Kotera
Jan Blažek
F. Šroubek
227
1
0
06 Nov 2024
Approximate Equivariance in Reinforcement Learning
Approximate Equivariance in Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
539
5
0
06 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic SegmentationIEEE Transactions on Image Processing (TIP), 2024
Xinyu Xu
Huazhen Liu
Huilin Xiong
Wenhao Yu
Tao Zhang
505
0
0
03 Nov 2024
Convolutional Filtering with RKHS Algebras
Convolutional Filtering with RKHS AlgebrasIEEE Transactions on Signal Processing (IEEE TSP), 2024
Alejandro Parada-Mayorga
Leopoldo Agorio
Alejandro Ribeiro
J. Bazerque
282
1
0
02 Nov 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
3D Equivariant Pose Regression via Direct Wigner-D Harmonics PredictionNeural Information Processing Systems (NeurIPS), 2024
Jongmin Lee
Minsu Cho
373
4
0
01 Nov 2024
Does equivariance matter at scale?
Does equivariance matter at scale?
Johann Brehmer
S. Behrends
P. D. Haan
Taco S. Cohen
367
34
0
30 Oct 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
Learning Infinitesimal Generators of Continuous Symmetries from DataNeural Information Processing Systems (NeurIPS), 2024
Gyeonghoon Ko
Hyunsu Kim
Juho Lee
218
7
0
29 Oct 2024
Diffusion for Multi-Embodiment Grasping
Diffusion for Multi-Embodiment GraspingIEEE Robotics and Automation Letters (RA-L), 2024
Roman Freiberg
Alexander Qualmann
Ngo Anh Vien
Gerhard Neumann
285
10
0
24 Oct 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
182
10
0
24 Oct 2024
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
452
6
0
23 Oct 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
Sample-efficient Bayesian Optimisation Using Known InvariancesNeural Information Processing Systems (NeurIPS), 2024
Theodore Brown
Alexandru Cioba
Ilija Bogunovic
174
5
0
22 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
241
0
0
21 Oct 2024
Encoding architecture algebra
Encoding architecture algebra
Stephane Bersier
Xinyi Chen-Lin
AI4CE
187
0
0
15 Oct 2024
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
217
5
0
10 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Yonatan Sverdlov
Ido Springer
Nadav Dym
450
2
0
09 Oct 2024
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud
  Registration
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud RegistrationEuropean Conference on Computer Vision (ECCV), 2024
Xueyang Kang
Zhaoliang Luan
Kourosh Khoshelham
Bing Wang
3DPC
222
4
0
08 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groupsNeural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
304
4
0
07 Oct 2024
Stability of sorting based embeddings
Stability of sorting based embeddings
Radu Balan
Efstratios Tsoukanis
Matthias Wellershoff
188
6
0
07 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
326
2
0
07 Oct 2024
SymmetryLens: Unsupervised Symmetry Learning via Locality and Density Preservation
SymmetryLens: Unsupervised Symmetry Learning via Locality and Density Preservation
Onur Efe
Arkadas Ozakin
298
0
0
07 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces
  for Large Finetuned Models
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo Putterman
Derek Lim
Yoav Gelberg
Stefanie Jegelka
Haggai Maron
AI4CE
277
12
0
05 Oct 2024
Estimating Body and Hand Motion in an Ego-sensed World
Estimating Body and Hand Motion in an Ego-sensed WorldComputer Vision and Pattern Recognition (CVPR), 2024
Brent Yi
Vickie Ye
Maya Zheng
Lea Müller
Georgios Pavlakos
Yi Ma
Jitendra Malik
Angjoo Kanazawa
DiffM
272
27
0
04 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential
  Equations
Disentangled Representation Learning for Parametric Partial Differential Equations
Ning Liu
Lu Zhang
Tian Gao
Yue Yu
DRLAI4CE
245
3
0
03 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie GroupsInternational Conference on Learning Representations (ICLR), 2024
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
314
12
0
03 Oct 2024
Equivariant score-based generative models provably learn distributions
  with symmetries efficiently
Equivariant score-based generative models provably learn distributions with symmetries efficiently
Ziyu Chen
Markos A. Katsoulakis
Benjamin J. Zhang
DiffM
238
4
0
02 Oct 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
Longchao Da
Rui Wang
Xiaojian Xu
Parminder Bhatia
Taha A. Kass-Hout
Hua Wei
Cao Xiao
MedImVLM
289
2
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
313
7
0
28 Sep 2024
Learning from Pattern Completion: Self-supervised Controllable
  Generation
Learning from Pattern Completion: Self-supervised Controllable GenerationNeural Information Processing Systems (NeurIPS), 2024
Zhiqiang Chen
Guofan Fan
Jinying Gao
Lei Ma
Bo Lei
Tiejun Huang
Shan Yu
185
1
0
27 Sep 2024
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets
Marc Uecker
J. M. Zöllner
232
0
0
27 Sep 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to
  Universal Approximation under Symmetry
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry
Akiyoshi Sannai
Yuuki Takai
Matthieu Cordonnier
945
0
0
25 Sep 2024
Improved Image Classification with Manifold Neural Networks
Improved Image Classification with Manifold Neural Networks
Caio F. Deberaldini Netto
Zhiyang Wang
Luana Ruiz
AI4CE
285
1
0
19 Sep 2024
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust
  Machine Learning Models
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models
Ronald Katende
AAML
90
0
0
18 Sep 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
533
6
0
18 Sep 2024
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Berfin Inal
Gabriele Cesa
161
0
0
13 Sep 2024
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR
  Imaging
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yuliang Zhu
Jing Cheng
Zhuo-Xu Cui
Jianfeng Ren
Chengbo Wang
Dong Liang
164
4
0
13 Sep 2024
Symmetry Breaking in Neural Network Optimization: Insights from Input
  Dimension Expansion
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
Jun-Jie Zhang
Nan Cheng
Fu-Peng Li
Xiu-Cheng Wang
Jian-Nan Chen
Long-Gang Pang
Deyu Meng
210
0
0
10 Sep 2024
Symmetry constrained neural networks for detection and localization of damage in metal plates
Symmetry constrained neural networks for detection and localization of damage in metal platesAPL Machine Learning (AML), 2024
James Amarel
Christopher Rudolf
Athanasios P. Iliopoulos
J. Michopoulos
Leslie N. Smith
308
1
0
09 Sep 2024
Equivariant Machine Learning Decoder for 3D Toric Codes
Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl
Evgenii Egorov
283
1
0
06 Sep 2024
SITUATE: Indoor Human Trajectory Prediction through Geometric Features
  and Self-Supervised Vision Representation
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision RepresentationInternational Conference on Pattern Recognition (ICPR), 2024
Luigi Capogrosso
Andrea Toaiari
Andrea Avogaro
Uzair Khan
Aditya Jivoji
Franco Fummi
Marco Cristani
246
0
0
01 Sep 2024
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
Can We Leave Deepfake Data Behind in Training Deepfake Detector?Neural Information Processing Systems (NeurIPS), 2024
Jikang Cheng
Zhiyuan Yan
Ying Zhang
Yuhao Luo
Zhongyuan Wang
Ying Zhang
235
38
0
30 Aug 2024
What Machine Learning Tells Us About the Mathematical Structure of
  Concepts
What Machine Learning Tells Us About the Mathematical Structure of Concepts
Jun Otsuka
243
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Remove Symmetries to Control Model Expressivity and Improve Optimization
Remove Symmetries to Control Model Expressivity and Improve OptimizationInternational Conference on Learning Representations (ICLR), 2024
Liu Ziyin
Yizhou Xu
Isaac Chuang
AAML
539
4
0
28 Aug 2024
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