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Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
v1v2v3 (latest)

Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

International Conference on Machine Learning (ICML), 2020
25 February 2020
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
ArXiv (abs)PDFHTML

Papers citing "Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data"

50 / 234 papers shown
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
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253
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0
24 Dec 2025
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
Chankyo Kim
Sicheng Zhao
Minghan Zhu
Tzu-Yuan Lin
Maani Ghaffari
AI4CE
195
0
0
27 Oct 2025
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt
Steffen Schneider
Matthias Bethge
174
0
0
24 Oct 2025
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
Jose Siguenza
Bharath Ramsundar
3DPC
154
0
0
19 Oct 2025
Axial Neural Networks for Dimension-Free Foundation Models
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim
Jonggeon Park
Joan Bruna
Hongseok Yang
Juho Lee
AI4CE
209
0
0
15 Oct 2025
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu
Yikang Li
Zhouchen Lin
147
0
0
02 Oct 2025
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
Pavan Karjol
Vivek Kashyap
Rohan Kashyap
Prathosh A P
259
0
0
26 Sep 2025
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh
Sara Abdali
Yinheng Li
K. Koishida
232
0
0
18 Sep 2025
Floating-Body Hydrodynamic Neural Networks
Floating-Body Hydrodynamic Neural Networks
Tianshuo Zhang
Wenzhe Zhai
Rui Yann
Jia Gao
He Cao
Xianglei Xing
PINNAI4CE
198
1
0
17 Sep 2025
Leveraging Equivariances and Symmetries in the Control Barrier Function Synthesis
Leveraging Equivariances and Symmetries in the Control Barrier Function Synthesis
A. Wiltz
Dimos V. Dimarogonas
94
2
0
04 Sep 2025
Surfel-based 3D Registration with Equivariant SE(3) Features
Surfel-based 3D Registration with Equivariant SE(3) Features
Xueyang Kang
Hang Zhao
Kourosh Khoshelham
P. Vandewalle
3DPC
126
0
0
28 Aug 2025
Neural Field Turing Machine: A Differentiable Spatial Computer
Neural Field Turing Machine: A Differentiable Spatial Computer
Akash Malhotra
Nacéra Seghouani
AI4CE
141
0
0
27 Aug 2025
GradMetaNet: An Equivariant Architecture for Learning on Gradients
GradMetaNet: An Equivariant Architecture for Learning on Gradients
Yoav Gelberg
Yam Eitan
Aviv Navon
Aviv Shamsian
Theo
Putterman
Michael M. Bronstein
Haggai Maron
272
3
0
02 Jul 2025
A unified framework for establishing the universal approximation of transformer-type architectures
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng
T. Lin
Zuowei Shen
Qianxiao Li
209
0
0
30 Jun 2025
FoGE: Fock Space inspired encoding for graph prompting
FoGE: Fock Space inspired encoding for graph prompting
Sotirios Panagiotis Chytas
Rudrasis Chakraborty
Vikas Singh
AI4CE
328
0
0
26 Jun 2025
CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
CP2^22: Leveraging Geometry for Conformal Prediction via CanonicalizationConference on Uncertainty in Artificial Intelligence (UAI), 2025
P. A. V. D. Linden
Alexander Timans
Erik J. Bekkers
282
2
0
19 Jun 2025
Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion
Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion
Hongyu Wang
Yonghao Long
Yueyao Chen
Hon-Chi Yip
Markus Scheppach
Philip Wai-Yan Chiu
Y. Yam
Helen M. Meng
Qi Dou
MedIm
272
5
0
05 Jun 2025
LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations
LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations
Eduardo Santos Escriche
Stefanie Jegelka
Stefanie Jegelka
428
1
0
04 Jun 2025
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
EquiReg: Equivariance Regularized Diffusion for Inverse Problems
Bahareh Tolooshams
Aditi Chandrashekar
Rayhan Zirvi
Abbas Mammadov
Jiachen Yao
Chuwei Wang
Julius Berner
DiffM
392
4
0
29 May 2025
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune
David Vigouroux
Yilun Du
Rufin VanRullen
Thomas Serre
Victor Boutin
DiffM
640
3
0
23 May 2025
Continuous Domain Generalization
Continuous Domain Generalization
Zekun Cai
Yiheng Yao
Guangji Bai
Renhe Jiang
Xuan Song
Ryosuke Shibasaki
Liang Zhao
OOD
620
1
0
17 May 2025
Vision Transformers in Precision Agriculture: A Comprehensive Survey
Vision Transformers in Precision Agriculture: A Comprehensive Survey
Saber Mehdipour
Seyed Abolghasem Mirroshandel
Seyed Amirhossein Tabatabaei
519
23
0
30 Apr 2025
Permutation Equivariant Neural Networks for Symmetric Tensors
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump
500
2
0
14 Mar 2025
Denoising Hamiltonian Network for Physical Reasoning
Denoising Hamiltonian Network for Physical Reasoning
Congyue Deng
Brandon Yushan Feng
Cecilia Garraffo
Alan Garbarz
Robin Walters
William T. Freeman
Leonidas Guibas
Kaiming He
AI4CE
287
7
0
10 Mar 2025
Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds
Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point CloudsInternational Conference on 3D Vision (3DV), 2025
Lisa Weijler
Pedro Hermosilla
3DPC
194
2
0
11 Feb 2025
Diffusion Generative Modeling on Lie Group Representations
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
539
2
0
04 Feb 2025
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic DataIEEE Transactions on Automation Science and Engineering (T-ASE), 2025
Faiz Muhammad Chaudhry
Jarno Ralli
Jerome Leudet
Fahad Sohrab
Farhad Pakdaman
Pierre Corbani
Moncef Gabbouj
208
0
0
24 Jan 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
446
2
0
02 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
623
9
0
16 Dec 2024
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Quang P.M. Pham
Khoi T.N. Nguyen
Lan C. Ngo
Truong Do
Truong Do
Truong-Son Hy
3DPC
535
3
0
15 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
301
9
0
11 Nov 2024
Stationary Velocity Fields on Matrix Groups for Deformable Image
  Registration
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration
Johannes Bostelmann
Ole Gildemeister
Jan Lellmann
212
1
0
14 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
273
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
456
7
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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
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430
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07 Oct 2024
Text-guided Diffusion Model for 3D Molecule Generation
Text-guided Diffusion Model for 3D Molecule Generation
Yanchen Luo
Cunchun Li
Changhao Nai
Zhiyuan Liu
Jiancan Wu
An Zhang
Wenjie Du
Xiang Wang
265
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04 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
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395
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03 Oct 2024
Reinforcement Learning with Lie Group Orientations for Robotics
Reinforcement Learning with Lie Group Orientations for RoboticsIEEE International Conference on Robotics and Automation (ICRA), 2024
Martin Schuck
Jan Brüdigam
Sandra Hirche
Angela Schoellig
370
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18 Sep 2024
Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal
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Spacetime E(n)E(n)E(n)-Transformer: Equivariant Attention for Spatio-temporal Graphs
Sergio G. Charles
299
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0
12 Aug 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
279
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Variational Partial Group Convolutions for Input-Aware Partial
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Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
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Yegon Kim
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Relaxing Continuous Constraints of Equivariant Graph Neural Networks for
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Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng
Yang Liu
Jia Li
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324
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24 Jun 2024
Approximately Equivariant Neural Processes
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Cristiana-Diana Diaconu
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220
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19 Jun 2024
Molecule Graph Networks with Many-body Equivariant Interactions
Molecule Graph Networks with Many-body Equivariant InteractionsJournal of Chemical Theory and Computation (JCTC), 2024
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Jiawen Li
Chen Liang
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Diptesh Das
Masato Sumita
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Koji Tsuda
465
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Learning Color Equivariant Representations
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570
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Compute Better Spent: Replacing Dense Layers with Structured Matrices
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Shikai Qiu
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Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
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David R. Wessels
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AI4CE
237
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Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
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Neural Isometries: Taming Transformations for Equivariant ML
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Symmetry-Informed Governing Equation Discovery
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