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Gauge Equivariant Convolutional Networks and the Icosahedral CNN
v1v2v3 (latest)

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

International Conference on Machine Learning (ICML), 2019
11 February 2019
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
ArXiv (abs)PDFHTML

Papers citing "Gauge Equivariant Convolutional Networks and the Icosahedral CNN"

50 / 275 papers shown
Title
Grassmann Manifold Flows for Stable Shape Generation
Grassmann Manifold Flows for Stable Shape GenerationNeural Information Processing Systems (NeurIPS), 2022
Ryoma Yataka
Kazuki Hirashima
Masashi Shiraishi
168
4
0
05 Nov 2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant
  Neural Networks
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
S. Balachandar
A. Poulenard
Congyue Deng
Leonidas Guibas
173
1
0
29 Oct 2022
Position tracking of a varying number of sound sources with sliding
  permutation invariant training
Position tracking of a varying number of sound sources with sliding permutation invariant trainingEuropean Signal Processing Conference (EUSIPCO), 2022
David Diaz-Guerra
Archontis Politis
Maria Sandsten
147
7
0
26 Oct 2022
Interpolated SelectionConv for Spherical Images and Surfaces
Interpolated SelectionConv for Spherical Images and SurfacesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
David Hart
Michael Whitney
B. Morse
3DH
182
3
0
18 Oct 2022
Theory for Equivariant Quantum Neural Networks
Theory for Equivariant Quantum Neural NetworksPRX Quantum (PRX Quantum), 2022
Quynh T. Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
235
111
0
16 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant
  Convolutional Networks
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2022
Renan A. Rojas-Gomez
Teck-Yian Lim
Alex Schwing
Minh Do
Raymond A. Yeh
211
18
0
14 Oct 2022
Representation Theory for Geometric Quantum Machine Learning
Representation Theory for Geometric Quantum Machine Learning
Michael Ragone
Paolo Braccia
Quynh T. Nguyen
Louis Schatzki
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
AI4CE
187
87
0
14 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Sourya Basu
P. Sattigeri
Karthikeyan N. Ramamurthy
Vijil Chenthamarakshan
Kush R. Varshney
Lav Varshney
Payel Das
201
23
0
13 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs
Analysis of (sub-)Riemannian PDE-G-CNNsJournal of Mathematical Imaging and Vision (JMIV), 2022
Gijs Bellaard
Daan Bon
Gautam Pai
B. Smets
R. Duits
AI4CE
243
16
0
03 Oct 2022
Machine learning and invariant theory
Machine learning and invariant theoryNotices of the American Mathematical Society (Notices of the AMS), 2022
Ben Blum-Smith
Soledad Villar
AI4CE
264
23
0
29 Sep 2022
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO)
  Convolutions
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) ConvolutionsInternational Conference on Learning Representations (ICLR), 2022
Jeremy Ocampo
Matthew Alexander Price
Jason D. McEwen
206
18
0
27 Sep 2022
Bispectral Neural Networks
Bispectral Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Sophia Sanborn
Christian Shewmake
Bruno A. Olshausen
Christopher Hillar
199
16
0
07 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNsInternational Conference on Machine Learning (ICML), 2022
Zhengyang Shen
T. Hong
Qi She
Jinwen Ma
Zhouchen Lin
MedIm
120
7
0
07 Aug 2022
Graph Neural Network with Local Frame for Molecular Potential Energy
  Surface
Graph Neural Network with Local Frame for Molecular Potential Energy SurfaceLOG IN (LOG IN), 2022
Xiyuan Wang
Muhan Zhang
168
14
0
01 Aug 2022
Quiver neural networks
Quiver neural networks
I. Ganev
Robin Walters
114
4
0
26 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from
  Insufficient Data
Equivariance and Invariance Inductive Bias for Learning from Insufficient DataEuropean Conference on Computer Vision (ECCV), 2022
Tan Wang
Qianru Sun
Sugiri Pranata
J. Karlekar
Hanwang Zhang
SSL
194
24
0
25 Jul 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision
  Transformers for Panoramic Semantic Segmentation
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Kailai Li
Kailun Yang
Haowen Shi
Simon Reiß
Kunyu Peng
Chaoxiang Ma
Haodong Fu
Philip H. S. Torr
Kaiwei Wang
Rainer Stiefelhagen
ViTMDE
262
49
0
25 Jul 2022
Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning
  from Single-View Images
Image to Icosahedral Projection for SO(3)\mathrm{SO}(3)SO(3) Object Reasoning from Single-View Images
David Klee
Ondrej Biza
Robert Platt
Robin Walters
215
4
0
18 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition
Equivariant Representation Learning via Class-Pose DecompositionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Giovanni Luca Marchetti
Gustaf Tegnér
Anastasiia Varava
Danica Kragic
DRL
259
16
0
07 Jul 2022
On Non-Linear operators for Geometric Deep Learning
On Non-Linear operators for Geometric Deep LearningNeural Information Processing Systems (NeurIPS), 2022
G. Sergeant-Perthuis
Jakob Maier
Joan Bruna
Edouard Oyallon
150
4
0
06 Jul 2022
Complementary Bi-directional Feature Compression for Indoor 360°
  Semantic Segmentation with Self-distillation
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Zishuo Zheng
Chunyu Lin
Lang Nie
K. Liao
Zhijie Shen
Yao Zhao
MDE
138
19
0
06 Jul 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One MatrixNeural Information Processing Systems (NeurIPS), 2022
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
213
25
0
17 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network
E2PN: Efficient SE(3)-Equivariant Point NetworkComputer Vision and Pattern Recognition (CVPR), 2022
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
199
24
0
11 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
224
0
0
05 Jun 2022
Three-dimensional microstructure generation using generative adversarial
  neural networks in the context of continuum micromechanics
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanicsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022
Alexander Henkes
Henning Wessels
3DVMedImAI4CE
243
48
0
31 May 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for
  Pooling and Unpooling
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and UnpoolingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mingxing Xu
Chenglin Li
Wenrui Dai
Siheng Chen
Junni Zou
P. Frossard
H. Xiong
130
2
0
31 May 2022
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
L. Chauvin
W. Wells
Matthew Toews
88
1
0
30 May 2022
Equivariant Mesh Attention Networks
Equivariant Mesh Attention Networks
Sourya Basu
Jose Gallego-Posada
Francesco Vigano
J. Rowbottom
Taco S. Cohen
3DPCMDEAI4CE
212
11
0
21 May 2022
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives
Hao Ai
Zidong Cao
Jin Zhu
Haotian Bai
Yucheng Chen
Ling Wang
262
41
0
21 May 2022
A Classification of $G$-invariant Shallow Neural Networks
A Classification of GGG-invariant Shallow Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Devanshu Agrawal
James Ostrowski
92
8
0
18 May 2022
Rotationally Equivariant 3D Object Detection
Rotationally Equivariant 3D Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Hong-Xing Yu
Jiajun Wu
Li Yi
3DPC
141
33
0
28 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models
Learning Symmetric Embeddings for Equivariant World ModelsInternational Conference on Machine Learning (ICML), 2022
Jung Yeon Park
Ondrej Biza
Linfeng Zhao
Jan-Willem van de Meent
Robin Walters
252
48
0
24 Apr 2022
A case for using rotation invariant features in state of the art feature
  matchers
A case for using rotation invariant features in state of the art feature matchers
Georg Bökman
Fredrik Kahl
143
53
0
21 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in
  Function Space
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function SpaceInternational Conference on Learning Representations (ICLR), 2022
Evangelos Chatzipantazis
Stefanos Pertigkiozoglou
Guang Cheng
Kostas Daniilidis
3DPC
264
37
0
05 Apr 2022
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
David Diaz-Guerra
A. Miguel
J. R. Beltrán
254
31
0
31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINNAI4CE
250
105
0
31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning
Reflection and Rotation Symmetry Detection via Equivariant LearningComputer Vision and Pattern Recognition (CVPR), 2022
Ahyun Seo
Byungjin Kim
Suha Kwak
Minsu Cho
122
17
0
31 Mar 2022
Quantum Finite Automata and Quiver Algebras
Quantum Finite Automata and Quiver Algebras
G. Jeffreys
Siu-Cheong Lau
112
0
0
15 Mar 2022
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic
  Semantic Segmentation
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Kailai Li
Kailun Yang
Chaoxiang Ma
Simon Reiß
Kunyu Peng
Rainer Stiefelhagen
ViT
251
91
0
02 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural NetworksAPL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
280
7
0
22 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration
Improving the Sample-Complexity of Deep Classification Networks with Invariant IntegrationVISIGRAPP (VISIGRAPP), 2022
M. Rath
Alexandru Paul Condurache
118
8
0
08 Feb 2022
Data-driven emergence of convolutional structure in neural networks
Data-driven emergence of convolutional structure in neural networksProceedings of the National Academy of Sciences of the United States of America (PNAS), 2022
Alessandro Ingrosso
Sebastian Goldt
303
40
0
01 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in
  Perspective
Rigidity Preserving Image Transformations and Equivariance in PerspectiveScandinavian Conference on Image Analysis (SCIA), 2022
Lucas Brynte
Georg Bökman
Axel Flinth
Fredrik Kahl
182
4
0
31 Jan 2022
Möbius Convolutions for Spherical CNNs
Möbius Convolutions for Spherical CNNsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022
Thomas W. Mitchel
Noam Aigerman
Vladimir G. Kim
Michael Kazhdan
245
13
0
28 Jan 2022
Generative Coarse-Graining of Molecular Conformations
Generative Coarse-Graining of Molecular ConformationsInternational Conference on Machine Learning (ICML), 2022
Wujie Wang
Minkai Xu
Chen Cai
Benjamin Kurt Miller
Tess E. Smidt
Yusu Wang
Jian Tang
Rafael Gómez-Bombarelli
113
43
0
28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Approximately Equivariant Networks for Imperfectly Symmetric DynamicsInternational Conference on Machine Learning (ICML), 2022
Rui Wang
Robin Walters
Rose Yu
303
95
0
28 Jan 2022
Noncommutative Geometry of Computational Models and Uniformization for
  Framed Quiver Varieties
Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver VarietiesPure and Applied Mathematics Quarterly (PAMQ), 2022
G. Jeffreys
Siu-Cheong Lau
143
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Complexity from Adaptive-Symmetries Breaking: Global Minima in the
  Statistical Mechanics of Deep Neural Networks
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks
Shaun Li
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186
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Equivariance and generalization in neural networks
Equivariance and generalization in neural networksEPJ Web of Conferences (EPJ Web Conf.), 2021
S. S. Krishna Chaitanya Bulusu
Matteo Favoni
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52
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Generalization capabilities of neural networks in lattice applications
Generalization capabilities of neural networks in lattice applications
S. S. Krishna Chaitanya Bulusu
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AI4CE
63
0
0
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