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Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
v1v2v3 (latest)

Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

International Conference on Learning Representations (ICLR), 2020
11 March 2020
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
ArXiv (abs)PDFHTML

Papers citing "Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs"

50 / 87 papers shown
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Yoonhyuk Choi
Chong-Kwon Kim
178
1
0
20 Nov 2025
PoissonNet: A Local-Global Approach for Learning on Surfaces
PoissonNet: A Local-Global Approach for Learning on Surfaces
Arman Maesumi
Tanish Makadia
Thibault Groueix
Vladimir G. Kim
Daniel E. Ritchie
Noam Aigerman
187
2
0
15 Oct 2025
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
Patryk Rygiel
Julian Suk
Christoph Brune
K. K. Yeung
J. Wolterink
145
2
0
30 Jul 2025
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Yunfei Huang
David S. Greenberg
AI4CE
203
1
0
05 Jun 2025
Geometric Hyena Networks for Large-scale Equivariant Learning
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev
Mangal Prakash
Junjie Xu
Tianyu Cui
Rui Liao
Tommaso Mansi
200
5
0
28 May 2025
AtlasD: Automatic Local Symmetry Discovery
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat
Jonghyun Park
Jianke Yang
Nima Dehmamy
Robin Walters
Rose Yu
313
0
0
15 Apr 2025
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang
Oleksandr Balabanov
Hampus Linander
Mats Granath
Daniel Persson
Jan E. Gerken
274
0
0
24 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement LearningConference on Learning for Dynamics & Control (L4DC), 2025
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
443
2
0
02 Jan 2025
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Adaptive Sampling for Continuous Group Equivariant Neural Networks
Berfin Inal
Gabriele Cesa
191
0
0
13 Sep 2024
Stability Analysis of Equivariant Convolutional Representations Through
  The Lens of Equivariant Multi-layered CKNs
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
Soutrik Roy Chowdhury
277
0
0
08 Aug 2024
OrbitGrasp: $SE(3)$-Equivariant Grasp Learning
OrbitGrasp: SE(3)SE(3)SE(3)-Equivariant Grasp Learning
Boce Hu
Xupeng Zhu
Dian Wang
Zihao Dong
Haojie Huang
Chenghao Wang
Robin Walters
Robert Platt
3DPC
330
24
0
03 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning
SE(3)-Hyena Operator for Scalable Equivariant Learning
Artem Moskalev
Mangal Prakash
Rui Liao
Tommaso Mansi
383
6
0
01 Jul 2024
On Learning what to Learn: heterogeneous observations of dynamics and
  establishing (possibly causal) relations among them
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them
David W. Sroczynski
Felix Dietrich
E. D. Koronaki
Ronen Talmon
Ronald R. Coifman
Erik Bollt
Ioannis G. Kevrekidis
204
3
0
10 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates
Flexible SE(2) graph neural networks with applications to PDE surrogates
Maria Bånkestad
Olof Mogren
Aleksis Pirinen
280
2
0
30 May 2024
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel
  Segmentation
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
Patryk Rygiel
Dieuwertje Alblas
Christoph Brune
K. K. Yeung
J. Wolterink
270
2
0
22 Mar 2024
Discretizing SO(2)-Equivariant Features for Robotic Kitting
Discretizing SO(2)-Equivariant Features for Robotic Kitting
Jiadong Zhou
Yadan Zeng
Huixu Dong
I-Ming Chen
225
2
0
20 Mar 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
322
21
0
23 Feb 2024
Clifford-Steerable Convolutional Neural Networks
Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov
David Ruhe
Maurice Weiler
Ana Lucic
Johannes Brandstetter
Patrick Forré
496
28
0
22 Feb 2024
E(3)-Equivariant Mesh Neural Networks
E(3)-Equivariant Mesh Neural Networks
Thuan Trang
Nhat-Khang Ngô
Daniel Levy
Thieu N. Vo
Siamak Ravanbakhsh
Truong-Son Hy
MDE
296
6
0
07 Feb 2024
SIRE: scale-invariant, rotation-equivariant estimation of artery
  orientations using graph neural networks
SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
Dieuwertje Alblas
Julian Suk
Christoph Brune
K. K. Yeung
J. Wolterink
MedIm
278
6
0
09 Nov 2023
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for
  Equivariant Transformers
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
P. D. Haan
Taco S. Cohen
Johann Brehmer
230
11
0
08 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers
Truly Scale-Equivariant Deep Nets with Fourier LayersNeural Information Processing Systems (NeurIPS), 2023
Md Ashiqur Rahman
Raymond A. Yeh
289
16
0
06 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message
  Passing
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message PassingNeural Information Processing Systems (NeurIPS), 2023
Jung Yeon Park
Lawson L. S. Wong
Robin Walters
AI4CE
473
2
0
30 Oct 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
GTA: A Geometry-Aware Attention Mechanism for Multi-View TransformersInternational Conference on Learning Representations (ICLR), 2023
Takeru Miyato
Bernhard Jaeger
Max Welling
Andreas Geiger
ViT
598
46
0
16 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks
Efficient Model-Agnostic Multi-Group Equivariant Networks
Razan Baltaji
Sourya Basu
Lav Varshney
252
1
0
14 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceInternational Conference on Learning Representations (ICLR), 2023
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
420
41
0
04 Oct 2023
Using and Abusing Equivariance
Using and Abusing Equivariance
Tom Edixhoven
A. Lengyel
Jan van Gemert
222
4
0
22 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted
  Representations
Equivariant Single View Pose Prediction Via Induced and Restricted RepresentationsNeural Information Processing Systems (NeurIPS), 2023
Owen Howell
David Klee
Ondrej Biza
Linfeng Zhao
Robin Walters
263
9
0
07 Jul 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric
  Measures
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric MeasuresComputers & graphics (CG), 2023
T. Besnier
Sylvain Arguillere
E. Pierson
Mohamed Daoudi
3DH
265
11
0
27 Jun 2023
Scaling Spherical CNNs
Scaling Spherical CNNsInternational Conference on Machine Learning (ICML), 2023
Carlos Esteves
Jean-Jacques E. Slotine
A. Makadia
GNNLRM
268
24
0
08 Jun 2023
Geometric Algebra Transformer
Geometric Algebra TransformerNeural Information Processing Systems (NeurIPS), 2023
Johann Brehmer
P. D. Haan
S. Behrends
Taco S. Cohen
411
61
0
28 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and
  Applications
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortés
Yue Yu
R. Chen
Melissa S. Armstrong
David E Vaillancourt
B. Vemuri
273
2
0
26 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
431
21
0
25 May 2023
Efficient Equivariant Transfer Learning from Pretrained Models
Efficient Equivariant Transfer Learning from Pretrained ModelsNeural Information Processing Systems (NeurIPS), 2023
Sourya Basu
Pulkit Katdare
P. Sattigeri
Vijil Chenthamarakshan
Katherine Driggs Campbell
Payel Das
Lav Varshney
394
12
0
17 May 2023
Machine Learning for Partial Differential Equations
Machine Learning for Partial Differential Equations
Steven L. Brunton
J. Nathan Kutz
AI4CE
254
23
0
30 Mar 2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
4D Panoptic Segmentation as Invariant and Equivariant Field PredictionIEEE International Conference on Computer Vision (ICCV), 2023
Minghan Zhu
Shizong Han
H. Cai
Shubhankar Borse
M. G. Jadidi
Fatih Porikli
3DPC
302
20
0
28 Mar 2023
Tangent Bundle Convolutional Learning: from Manifolds to Cellular
  Sheaves and Back
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and BackIEEE Transactions on Signal Processing (IEEE TSP), 2023
Claudio Battiloro
Zhiyang Wang
Hans Riess
Paolo Di Lorenzo
Alejandro Ribeiro
257
18
0
20 Mar 2023
Invariant Representations of Embedded Simplicial Complexes
Invariant Representations of Embedded Simplicial Complexes
Taejin Paik
176
1
0
27 Feb 2023
Equivariant MuZero
Equivariant MuZero
Andreea Deac
T. Weber
George Papamakarios
258
4
0
09 Feb 2023
Implicit Convolutional Kernels for Steerable CNNs
Implicit Convolutional Kernels for Steerable CNNsNeural Information Processing Systems (NeurIPS), 2022
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
436
13
0
12 Dec 2022
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on
  the Artery Wall
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
Julian Suk
P. D. Haan
Phillip Lippe
Christoph Brune
J. Wolterink
527
40
0
09 Dec 2022
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms
Bruno Gavranović
M. Villani
GNN
190
0
0
01 Dec 2022
The Surprising Effectiveness of Equivariant Models in Domains with
  Latent Symmetry
The Surprising Effectiveness of Equivariant Models in Domains with Latent SymmetryInternational Conference on Learning Representations (ICLR), 2022
Dian Wang
Jung Yeon Park
Neel Sortur
Lawson L. S. Wong
Robin Walters
Robert Platt
AAML
373
40
0
16 Nov 2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations
  in Hamiltonian Formulation
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo
Shunyue Yuan
J. Stokes
B. Clark
220
19
0
06 Nov 2022
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
268
4
0
05 Nov 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
285
20
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
295
24
0
13 Oct 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point
  Clouds
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
202
5
0
11 Sep 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
267
14
0
01 Aug 2022
Bessel Equivariant Networks for Inversion of Transmission Effects in
  Multi-Mode Optical Fibres
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical FibresNeural Information Processing Systems (NeurIPS), 2022
Joshua Mitton
S. Mekhail
M. Padgett
Daniele Faccio
Marco Aversa
Roderick Murray-Smith
188
3
0
26 Jul 2022
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