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1902.04615
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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
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Papers citing
"Gauge Equivariant Convolutional Networks and the Icosahedral CNN"
50 / 276 papers shown
H-NeXt: The next step towards roto-translation invariant networks
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F. Šroubek
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Vasek Kosik
237
3
0
02 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Neural Information Processing Systems (NeurIPS), 2023
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Lawson L. S. Wong
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AI4CE
427
1
0
30 Oct 2023
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds
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16 Oct 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
International Conference on Learning Representations (ICLR), 2023
Takeru Miyato
Bernhard Jaeger
Max Welling
Andreas Geiger
ViT
512
31
0
16 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
International Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
762
19
0
03 Oct 2023
Latent Space Symmetry Discovery
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Jianke Yang
Nima Dehmamy
Robin Walters
Rose Yu
330
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29 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
IEEE International Conference on Computer Vision (ICCV), 2023
Yuanyi Zhong
Anand Bhattad
Yu-Xiong Wang
David Forsyth
MDE
202
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28 Sep 2023
Using and Abusing Equivariance
Tom Edixhoven
A. Lengyel
Jan van Gemert
174
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22 Aug 2023
Semantic Equivariant Mixup
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Tianchi Xie
Bing Wu
Qinghua Hu
Changqing Zhang
AAML
260
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12 Aug 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Pourya Shamsolmoali
Masoumeh Zareapoor
227
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24 Jul 2023
Data-driven criteria for quantum correlations
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J. Pawłowski
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K. Roszak
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20 Jul 2023
HEAL-SWIN: A Vision Transformer On The Sphere
Computer Vision and Pattern Recognition (CVPR), 2023
Oscar Carlsson
Jan E. Gerken
Hampus Linander
Heiner Spiess
F. Ohlsson
Christoffer Petersson
Daniel Persson
ViT
MedIm
222
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0
14 Jul 2023
Spherical Feature Pyramid Networks For Semantic Segmentation
Thomas Walker
Varun Anand
Pavlos Andreadis
3DPC
167
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05 Jul 2023
Learning Lie Group Symmetry Transformations with Neural Networks
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Victoria G Klein
Riccardo Valperga
J. Lamb
K. Webster
Rick Quax
E. Gavves
282
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04 Jul 2023
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu
Dongmian Zou
214
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15 Jun 2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
Neural Information Processing Systems (NeurIPS), 2023
Jianqi Zhong
Ta-Ying Cheng
Yuhang He
Kai Lu
Kaichen Zhou
Andrew Markham
Niki Trigoni
3DPC
266
2
0
08 Jun 2023
Scaling Spherical CNNs
International Conference on Machine Learning (ICML), 2023
Carlos Esteves
Jean-Jacques E. Slotine
A. Makadia
GNN
LRM
207
24
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08 Jun 2023
Differentially Private Image Classification by Learning Priors from Random Processes
Neural Information Processing Systems (NeurIPS), 2023
Xinyu Tang
Ashwinee Panda
Vikash Sehwag
Prateek Mittal
287
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08 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries
International Conference on Machine Learning (ICML), 2023
Hyunsung Kim
Hyungi Lee
Hongseok Yang
Juho Lee
302
13
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01 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
262
3
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31 May 2023
Physics-Informed Computer Vision: A Review and Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
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404
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0
29 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Neural Information Processing Systems (NeurIPS), 2023
Mircea Petrache
Shubhendu Trivedi
346
39
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27 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortés
Yue Yu
R. Chen
Melissa S. Armstrong
David E Vaillancourt
B. Vemuri
238
2
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26 May 2023
Making Vision Transformers Truly Shift-Equivariant
Computer 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
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
ACM Multimedia (ACM MM), 2023
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
383
62
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19 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Journal of machine learning research (JMLR), 2023
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
David Meger
Doina Precup
284
7
0
09 May 2023
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent Organization
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Adam T. Rupe
K. Kashinath
Nalini Kumar
James P. Crutchfield
237
0
0
25 Apr 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
IEEE International Conference on Computer Vision (ICCV), 2023
Haiwen Feng
Peter Kulits
Shichen Liu
Michael J. Black
Victoria Fernandez-Abrevaya
3DPC
3DH
228
16
0
20 Apr 2023
Gauge-equivariant pooling layers for preconditioners in lattice QCD
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T. Wettig
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163
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20 Apr 2023
DarSwin: Distortion Aware Radial Swin Transformer
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Akshay Athwale
Ichrak Shili
Émile Bergeron
Arman Afrasiyabi
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Ola Ahmad
Jean-François Lalonde
284
10
0
19 Apr 2023
Domain Generalization In Robust Invariant Representation
Gauri Gupta
Ritvik Kapila
Keshav Gupta
Ramesh Raskar
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113
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07 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
319
11
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05 Apr 2023
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zhifeng Teng
Kailai Li
Kailun Yang
Kunyu Peng
Haowen Shi
Simon Reiß
Ke Cao
Rainer Stiefelhagen
MDE
249
21
0
21 Mar 2023
Geometrical aspects of lattice gauge equivariant convolutional neural networks
J. Aronsson
David I. Müller
Daniel Schuh
193
10
0
20 Mar 2023
Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras
Advances in Computational Mathematics (Adv. Comput. Math.), 2023
V. Knibbeler
172
1
0
13 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
M. Rath
Alexandru Paul Condurache
224
5
0
02 Mar 2023
Invariant Representations of Embedded Simplicial Complexes
Taejin Paik
142
1
0
27 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Neural Information Processing Systems (NeurIPS), 2023
Agustinus Kristiadi
Felix Dangel
Philipp Hennig
242
17
0
14 Feb 2023
Gauge-equivariant neural networks as preconditioners in lattice QCD
C. Lehner
T. Wettig
AI4CE
186
14
0
10 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning
Journal of Cosmology and Astroparticle Physics (JCAP), 2023
Aurelio Amerio
A. Cuoco
N. Fornengo
204
6
0
03 Feb 2023
Generative Adversarial Symmetry Discovery
International Conference on Machine Learning (ICML), 2023
Jianke Yang
Robin Walters
Nima Dehmamy
Rose Yu
GAN
336
38
0
01 Feb 2023
Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models
Environmental Data Science (EDS), 2023
J. Wider
Jakob Kruse
N. Weitzel
J. Bühler
Ullrich Kothe
K. Rehfeld
OOD
AI4Cl
115
1
0
31 Jan 2023
How Jellyfish Characterise Alternating Group Equivariant Neural Networks
International Conference on Machine Learning (ICML), 2023
Edward Pearce-Crump
248
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0
24 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
Patrick Krüger
Hanno Gottschalk
184
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0
08 Jan 2023
Equivariant Light Field Convolution and Transformer
Yinshuang Xu
Jiahui Lei
Kostas Daniilidis
ViT
249
1
0
30 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Qijian Zhang
Xianqiang Lyu
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
3DPC
285
41
0
17 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs
Neural Information Processing Systems (NeurIPS), 2022
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
388
11
0
12 Dec 2022
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
LOG IN (LOG IN), 2022
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Felix Kerkhoff
Jochen Garcke
118
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0
12 Dec 2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations
International Conference on Cloud Computing and Intelligence Systems (ICCCIS), 2022
Yemo Li
Yiwen Pang
Bin Shan
AI4CE
246
8
0
08 Dec 2022
Applications of Lattice Gauge Equivariant Neural Networks
EPJ Web of Conferences (EPJ Web Conf.), 2022
Matteo Favoni
A. Ipp
David I. Müller
80
7
0
01 Dec 2022
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