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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
Improved Canonicalization for Model Agnostic Equivariance
Improved Canonicalization for Model Agnostic Equivariance
Siba Smarak Panigrahi
Arnab Kumar Mondal
178
8
0
23 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
209
2
0
22 May 2024
One-Shot Imitation Learning with Invariance Matching for Robotic
  Manipulation
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
Xinyu Zhang
Abdeslam Boularias
401
19
0
21 May 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Tilt your Head: Activating the Hidden Spatial-Invariance of ClassifiersInternational Conference on Machine Learning (ICML), 2024
Johann Schmidt
Sebastian Stober
299
4
0
06 May 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein
  Discrepancy
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Hoang-Quan Nguyen
Thanh-Dat Truong
Khoa Luu
287
1
0
02 May 2024
Covariant spatio-temporal receptive fields for spiking neural networks
Covariant spatio-temporal receptive fields for spiking neural networks
Jens Egholm Pedersen
Jorg Conradt
Tony Lindeberg
337
3
0
01 May 2024
Solving Partial Differential Equations with Equivariant Extreme Learning
  Machines
Solving Partial Differential Equations with Equivariant Extreme Learning Machines
Christine Allen-Blanchette
Jean Rabault
Ricardo Vinuesa
Mikael Mortensen
Sebastian Peitz
413
4
0
29 Apr 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov
Sergei Grudinin
323
0
0
24 Apr 2024
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Ben Eisner
Yi Yang
Todor Davchev
Mel Vecerík
Jonathan Scholz
David Held
197
22
0
20 Apr 2024
Achieving Rotation Invariance in Convolution Operations: Shifting from
  Data-Driven to Mechanism-Assured
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured
Hanlin Mo
Guoying Zhao
OOD
164
1
0
17 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
Matthieu Wyart
BDL
363
7
0
16 Apr 2024
Improving Shift Invariance in Convolutional Neural Networks with
  Translation Invariant Polyphase Sampling
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Sourajit Saha
Tejas Gokhale
240
4
0
11 Apr 2024
Domain Generalisation via Imprecise Learning
Domain Generalisation via Imprecise Learning
Anurag Singh
Siu Lun Chau
S. Bouabid
Krikamol Muandet
AI4CEOOD
288
11
0
06 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
Cosmin Safta
Reese E. Jones
AI4CE
211
2
0
05 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric
  patterns in 3D
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D
Dmitrii Zhemchuzhnikov
Sergei Grudinin
309
1
0
28 Mar 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without
  Point Cloud Segmentation
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
Chongkai Gao
Zhengrong Xue
Shuying Deng
Tianhai Liang
Siqi Yang
Lin Shao
Huazhe Xu
3DPC
203
19
0
28 Mar 2024
On permutation-invariant neural networks
On permutation-invariant neural networks
Masanari Kimura
Ryotaro Shimizu
Yuki Hirakawa
Ryosuke Goto
Yuki Saito
OODAAML
351
17
0
26 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
314
22
0
24 Mar 2024
PDE-CNNs: Axiomatic Derivations and Applications
PDE-CNNs: Axiomatic Derivations and ApplicationsJournal of Mathematical Imaging and Vision (JMIV), 2024
Gijs Bellaard
Sei Sakata
B. Smets
R. Duits
AI4CE
209
3
0
22 Mar 2024
Image Classification with Rotation-Invariant Variational Quantum
  Circuits
Image Classification with Rotation-Invariant Variational Quantum CircuitsPhysical Review Research (PRR), 2024
Paul San Sebastian
Mikel Canizo
Román Orús
278
7
0
22 Mar 2024
Geometric Generative Models based on Morphological Equivariant PDEs and
  GANs
Geometric Generative Models based on Morphological Equivariant PDEs and GANsInternational Conference on Pattern Recognition (ICPR), 2024
El Hadji S. Diop
Thierno Fall
Alioune Mbengue
Mohamed Daoudi
GAN
279
2
0
22 Mar 2024
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
Bohao Peng
Xiaoyang Wu
Li Jiang
Yukang Chen
Hengshuang Zhao
Zhuotao Tian
Jiaya Jia
281
56
0
21 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
Alexandru Paul Condurache
299
5
0
17 Mar 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
264
12
0
04 Mar 2024
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Gianluca Scarpellini
Stefano Fiorini
Francesco Giuliari
Pietro Morerio
Alessio Del Bue
354
28
0
29 Feb 2024
Structure Preserving Diffusion Models
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
281
2
0
29 Feb 2024
Neural Operators with Localized Integral and Differential Kernels
Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini
Julius Berner
Boris Bonev
Thorsten Kurth
Kamyar Azizzadenesheli
A. Anandkumar
303
51
0
26 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
485
6
0
25 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
241
1
0
23 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
157
2
0
23 Feb 2024
On normalization-equivariance properties of supervised and unsupervised
  denoising methods: a survey
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
261
0
0
23 Feb 2024
Position: Categorical Deep Learning is an Algebraic Theory of All
  Architectures
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
Bruno Gavranovic
Paul Lessard
Andrew Dudzik
Tamara von Glehn
J. G. Araújo
Petar Velickovic
301
15
0
23 Feb 2024
Optimal Transport on the Lie Group of Roto-translations
Optimal Transport on the Lie Group of Roto-translations
Daan Bon
Gautam Pai
Gijs Bellaard
Olga Mula
R. Duits
OT
305
2
0
23 Feb 2024
Geometry-Informed Neural Networks
Geometry-Informed Neural Networks
Arturs Berzins
Andreas Radler
Eric Volkmann
Sebastian Sanokowski
Sepp Hochreiter
Johannes Brandstetter
GANAI4CE
531
7
0
21 Feb 2024
Bi-invariant Dissimilarity Measures for Sample Distributions in Lie
  Groups
Bi-invariant Dissimilarity Measures for Sample Distributions in Lie Groups
M. Hanik
H. Hege
C. V. Tycowicz
195
3
0
20 Feb 2024
Robust agents learn causal world models
Robust agents learn causal world models
Jonathan G. Richens
Tom Everitt
OOD
514
62
0
16 Feb 2024
Global optimality under amenable symmetry constraints
Global optimality under amenable symmetry constraints
Peter Orbanz
212
0
0
12 Feb 2024
Universal Neural Functionals
Universal Neural Functionals
Allan Zhou
Chelsea Finn
James Harrison
251
21
0
07 Feb 2024
Towards Understanding Inductive Bias in Transformers: A View From
  Infinity
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie
Guy Gur-Ari
Zohar Ringel
291
10
0
07 Feb 2024
PAC Learnability under Explanation-Preserving Graph Perturbations
PAC Learnability under Explanation-Preserving Graph Perturbations
Xu Zheng
Farhad Shirani
Tianchun Wang
Shouwei Gao
Wenqian Dong
Wei Cheng
Dongsheng Luo
200
0
0
07 Feb 2024
Equivariant Symmetry Breaking Sets
Equivariant Symmetry Breaking Sets
YuQing Xie
Tess E. Smidt
313
7
0
05 Feb 2024
Anytime-Valid Tests of Group Invariance through Conformal Prediction
Anytime-Valid Tests of Group Invariance through Conformal PredictionInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2024
Tyron Lardy
M. F. Pérez-Ortiz
268
1
0
27 Jan 2024
Interpreting Equivariant Representations
Interpreting Equivariant RepresentationsInternational Conference on Machine Learning (ICML), 2024
Andreas Abildtrup Hansen
Anna Calissano
Aasa Feragen
332
2
0
23 Jan 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3DInternational Conference on Learning Representations (ICLR), 2024
Hao-zhe Huang
Owen Howell
Dian Wang
Xu Zhu
Robin Walters
Robert Platt
377
37
0
22 Jan 2024
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam
  CT
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
N. Moriakov
Jan-Jakob Sonke
Jonas Teuwen
94
0
0
20 Jan 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt
  Tensor Products
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
Shengjie Luo
Tianlang Chen
Aditi S. Krishnapriyan
223
36
0
18 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise
  Activations
A Characterization Theorem for Equivariant Networks with Point-wise ActivationsInternational Conference on Learning Representations (ICLR), 2024
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
256
5
0
17 Jan 2024
SymmPI: Predictive Inference for Data with Group Symmetries
SymmPI: Predictive Inference for Data with Group Symmetries
Guang Cheng
Mengxin Yu
439
10
0
26 Dec 2023
Algebraic Positional Encodings
Algebraic Positional Encodings
Konstantinos Kogkalidis
Jean-Philippe Bernardy
Vikas Garg
162
5
0
26 Dec 2023
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
201
18
0
25 Dec 2023
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