Gauge Equivariant Convolutional Networks and the Icosahedral CNN

11 February 2019

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

50 / 258 papers shown

Title
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 26 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 57 1 0 13 Mar 2025
Learning finite symmetry groups of dynamical systems via equivariance detection Pablo Calvo-Barlés Sergio G. Rodrigo Luis Martín-Moreno 50 0 0 04 Mar 2025
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks Longde Huang Oleksandr Balabanov H. Linander Mats Granath Daniel Persson Jan E. Gerken 34 0 0 24 Feb 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Jiajun Zhu Peihao Wang Ruisi Cai Jason D. Lee Pan Li Z. Wang KELM 36 1 0 03 Jan 2025
OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities Suyoung Lee Jaeyoung Chung Kihoon Kim Jaeyoo Huh G. Lee Minsoo Lee Kyoung Mu Lee 3DGS 84 0 0 21 Dec 2024
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 88 1 0 16 Dec 2024
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 33 0 0 11 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 29 4 0 24 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 42 2 0 23 Oct 2024
Encoding architecture algebra Stephane Bersier Xinyi Chen-Lin AI4CE 13 0 0 15 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
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration Hao Ai Lin Wang 27 0 0 18 Aug 2024
Optimal Symmetries in Binary Classification Vishal S. Ngairangbam M. Spannowsky 29 1 0 16 Aug 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs Soutrik Roy Chowdhury 38 0 0 08 Aug 2024
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning Ray Zhang Zheming Zhou Min Sun Omid Ghasemalizadeh Cheng-Hao Kuo Ryan Eustice Maani Ghaffari Arnie Sen 3DPC 38 1 0 29 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Johan Mathe Mathilde Papillon Domas Buracas Hansen Lillemark Christian Shewmake Abby Bertics Xavier Pennec Nina Miolane 56 4 0 12 Jul 2024
An Intrinsic Vector Heat Network Alexander Gao Maurice Chu Mubbasir Kapadia Ming C. Lin Hsueh-Ti Derek Liu AI4CE 32 0 0 14 Jun 2024
Learning Color Equivariant Representations Felix O'Mahony Yulong Yang Christine Allen-Blanchette 28 0 0 13 Jun 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 19 1 0 28 Mar 2024
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion Hao Ai Lin Wang MDE 32 8 0 25 Mar 2024
PDE-CNNs: Axiomatic Derivations and Applications Gijs Bellaard Sei Sakata B. Smets R. Duits AI4CE 22 1 0 22 Mar 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 47 12 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 37 3 0 07 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sifan Wang Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 21 27 0 01 Feb 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 20 0 0 25 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 15 1 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 20 5 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 32 4 0 09 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 24 1 0 02 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park Lawson L. S. Wong Robin Walters AI4CE 11 0 0 30 Oct 2023
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds Ilyes Batatia 18 0 0 16 Oct 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 30 14 0 16 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 30 9 0 03 Oct 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 25 12 0 29 Sep 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 26 2 0 28 Sep 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel J. C. V. Gemert 26 3 0 22 Aug 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 56 0 0 12 Aug 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 25 1 0 24 Jul 2023
Data-driven criteria for quantum correlations Mateusz Krawczyk J. Pawłowski Maciej M. Ma'ska K. Roszak 19 3 0 20 Jul 2023
HEAL-SWIN: A Vision Transformer On The Sphere Oscar Carlsson Jan E. Gerken H. Linander Heiner Spiess F. Ohlsson Christoffer Petersson Daniel Persson ViT MedIm 29 6 0 14 Jul 2023
Spherical Feature Pyramid Networks For Semantic Segmentation Thomas Walker Varun Anand Pavlos Andreadis 3DPC 11 0 0 05 Jul 2023
Learning Lie Group Symmetry Transformations with Neural Networks Alex Gabel Victoria G Klein Riccardo Valperga J. Lamb K. Webster Rick Quax E. Gavves 18 5 0 04 Jul 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 2023
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation Jianqi Zhong Ta-Ying Cheng Yuhang He Kai Lu Kaichen Zhou Andrew Markham Niki Trigoni 3DPC 24 1 0 08 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 19 13 0 08 Jun 2023
Differentially Private Image Classification by Learning Priors from Random Processes Xinyu Tang Ashwinee Panda Vikash Sehwag Prateek Mittal 16 20 0 08 Jun 2023
Regularizing Towards Soft Equivariance Under Mixed Symmetries Hyunsung Kim Hyungi Lee Hongseok Yang Juho Lee 25 5 0 01 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 23 2 0 31 May 2023