Relaxing Equivariance Constraints with Non-stationary Continuous Filters

14 April 2022

Papers citing "Relaxing Equivariance Constraints with Non-stationary Continuous Filters"

31 / 31 papers shown

Title
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL Joshua McClellan Greyson Brothers Furong Huang Pratap Tokekar 49 0 0 19 Mar 2025
ELECTRA: A Symmetry-breaking Cartesian Network for Charge Density Prediction with Floating Orbitals Jonas Elsborg Luca Thiede Alán Aspuru-Guzik T. Vegge Arghya Bhowmik 36 0 0 11 Mar 2025
How simple can you go? An off-the-shelf transformer approach to molecular dynamics Max Eissler Tim Korjakow Stefan Ganscha Oliver T. Unke Klaus-Robert Müller Stefan Gugler 58 1 0 03 Mar 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 32 1 0 06 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 42 2 0 23 Oct 2024
Noether's razor: Learning Conserved Quantities Tycho F. A. van der Ouderaa Mark van der Wilk Pim de Haan 14 0 0 10 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 42 2 0 18 Sep 2024
Scaling Continuous Kernels with Sparse Fourier Domain Learning Clayton A. Harper Luke Wood Peter Gerstoft Eric C. Larson 26 0 0 15 Sep 2024
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou Evangelos Chatzipantazis Shubhendu Trivedi Kostas Daniilidis 37 4 0 23 Aug 2024
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 31 0 0 22 Aug 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts Hyunsu Kim Yegon Kim Hongseok Yang Juho Lee 32 0 0 05 Jul 2024
Approximately Equivariant Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 34 1 0 19 Jun 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 17 4 0 05 Feb 2024
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks S. Thais D. Murnane AI4CE 31 4 0 06 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields Miltiadis Kofinas Erik J. Bekkers N. S. Nagaraja E. Gavves AI4CE 31 6 0 31 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 21 6 0 19 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 36 12 0 09 Oct 2023
A topological model for partial equivariance in deep learning and data analysis L. Ferrari Patrizio Frosini Nicola Quercioli Francesca Tombari 16 2 0 25 Aug 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel J. C. V. Gemert 24 3 0 22 Aug 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries Hyunsung Kim Hyungi Lee Hongseok Yang Juho Lee 25 5 0 01 Jun 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio' 32 0 0 30 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 28 22 0 27 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 19 7 0 25 May 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 24 5 0 12 Dec 2022
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 32 9 0 11 Oct 2022
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting Rui Wang Robin G. Walters Rose Yu 22 13 0 19 Jun 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020