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Gauge Equivariant Convolutional Networks and the Icosahedral CNN

International Conference on Machine Learning (ICML), 2019

11 February 2019

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

50 / 275 papers shown

Title
Gauge-Equivariant Graph Networks via Self-Interference Cancellation Yoonhyuk Choi Chong-Kwon Kim 72 0 0 20 Nov 2025
Tensor Gauge Flow Models Alexander Strunk Roland Assam DRL 124 0 0 18 Nov 2025
Direct Molecular Polarizability Prediction with SO(3) Equivariant Local Frame GNNs Jean Philip Filling Felix Post Michael Wand Denis Andrienko 64 0 0 10 Nov 2025
Learning with Category-Equivariant Representations for Human Activity Recognition Yoshihiro Maruyama 57 1 0 02 Nov 2025
Learning from Frustration: Torsor CNNs on Graphs Daiyuan Li Shreya Arya Robert Ghrist 36 0 0 27 Oct 2025
Learning Generalizable Shape Completion with SIM(3) Equivariance Yuqing Wang Zhaiyu Chen X. X. Zhu 3DPC 154 0 0 30 Sep 2025
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Ya-Wei Eileen Lin Ron Levie 108 0 0 29 Sep 2025
Axis-level Symmetry Detection with Group-Equivariant Representation Wongyun Yu Ahyun Seo Minsu Cho 137 0 0 14 Aug 2025
Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits S. Y. Willow D. C. Yang Chang Woo Myung 76 0 0 06 Aug 2025
FoGE: Fock Space inspired encoding for graph prompting Sotirios Panagiotis Chytas Rudrasis Chakraborty Vikas Singh AI4CE 166 0 0 26 Jun 2025
CP $^2$ : Leveraging Geometry for Conformal Prediction via CanonicalizationConference on Uncertainty in Artificial Intelligence (UAI), 2025 P. A. V. D. Linden Alexander Timans Erik J. Bekkers 151 1 0 19 Jun 2025
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Yunfei Huang David S. Greenberg AI4CE 149 0 0 05 Jun 2025
Learning Equivariant Models by Discovering Symmetries with Learnable Augmentations Eduardo Santos Escriche Stefanie Jegelka 236 1 0 04 Jun 2025
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures Dongzhe Zheng Wenjie Mei AI4CE 216 1 0 26 May 2025
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 356 1 0 23 May 2025
Symmetry-Breaking Descent for Invariant Cost Functionals Mikhail Osipov 180 0 0 19 May 2025
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization Alonso Urbano David W. Romero Max Zimmer Sebastian Pokutta 198 0 0 19 May 2025
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin Walters Rose Yu 205 0 0 15 Apr 2025
ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness Boqian Li Haiwen Feng Zeyu Cai M. Black Yuliang Xiu 3DH 309 4 0 13 Mar 2025
Learning finite symmetry groups of dynamical systems via equivariance detection Pablo Calvo-Barlés Sergio G. Rodrigo Luis Martín-Moreno 183 0 0 04 Mar 2025
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks Longde Huang Oleksandr Balabanov Hampus Linander Mats Granath Daniel Persson Jan E. Gerken 142 0 0 24 Feb 2025
Physics-Driven Learning for Inverse Problems in Quantum ChromodynamicsNature Reviews Physics (Nat. Rev. Phys.), 2025 Gert Aarts Kenji Fukushima Tetsuo Hatsuda Andreas Ipp S. Shi Lei Wang K. Zhou AI4CE PINN 186 21 0 09 Jan 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Jiajun Zhu Peihao Wang Ruisi Cai Jason D. Lee Pan Li Liang Luo KELM 322 3 0 01 Jan 2025
OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable CapabilitiesComputer Vision and Pattern Recognition (CVPR), 2024 Suyoung Lee Jaeyoung Chung Kihoon Kim Jaeyoo Huh G. Lee Minsoo Lee Kyoung Mu Lee 3DGS 319 2 0 21 Dec 2024
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 402 4 0 16 Dec 2024
$SE(3)$ 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 223 5 0 11 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 139 10 0 24 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 267 6 0 23 Oct 2024
Encoding architecture algebra Stephane Bersier Xinyi Chen-Lin AI4CE 153 0 0 15 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 413 3 0 18 Sep 2024
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration Hao Ai Lin Wang 134 1 0 18 Aug 2024
Optimal Symmetries in Binary Classification Vishal S. Ngairangbam M. Spannowsky 164 1 0 16 Aug 2024
EqNIO: Subequivariant Neural Inertial OdometryInternational Conference on Learning Representations (ICLR), 2024 Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 218 9 0 12 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 212 0 0 08 Aug 2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant LearningEuropean Conference on Computer Vision (ECCV), 2024 Ray Zhang Zheming Zhou Min Sun Omid Ghasemalizadeh Cheng-Hao Kuo Ryan Eustice Maani Ghaffari Arnie Sen 3DPC 261 5 0 29 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Sophia Sanborn Johan Mathe Louisa Cornelis Abby Bertics ... Hansen Lillemark Christian Shewmake Fatih Dinc Xavier Pennec Nina Miolane 280 13 0 12 Jul 2024
An Intrinsic Vector Heat NetworkInternational Conference on Machine Learning (ICML), 2024 Alexander Gao Maurice Chu Mubbasir Kapadia Ming C. Lin Hsueh-Ti Derek Liu AI4CE 124 1 0 14 Jun 2024
Separation Power of Equivariant Neural Networks Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 136 1 0 13 Jun 2024
Learning Color Equivariant Representations Felix O'Mahony Yulong Yang Christine Allen-Blanchette 366 0 0 13 Jun 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 232 1 0 28 Mar 2024
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion Hao Ai Lin Wang MDE 199 22 0 25 Mar 2024
PDE-CNNs: Axiomatic Derivations and ApplicationsJournal of Mathematical Imaging and Vision (JMIV), 2024 Gijs Bellaard Sei Sakata B. Smets R. Duits AI4CE 143 2 0 22 Mar 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 380 23 0 22 Feb 2024
E(3)-Equivariant Mesh Neural Networks Thuan Trang Nhat-Khang Ngô Daniel Levy Thieu N. Vo Siamak Ravanbakhsh Truong-Son Hy MDE 201 5 0 07 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sizhuang He Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 438 76 0 01 Feb 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 140 1 0 25 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 302 5 0 19 Dec 2023
$$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks$ $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks Zhongtian Dong Marçal Comajoan Cara Gopal Ramesh Dahale Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 255 7 0 30 Nov 2023
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 199 5 0 09 Nov 2023
H-NeXt: The next step towards roto-translation invariant networksBritish Machine Vision Conference (BMVC), 2023 Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 161 3 0 02 Nov 2023

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Gauge Equivariant Convolutional Networks and the Icosahedral CNN

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