Steerable CNNs

27 December 2016

Papers citing "Steerable CNNs"

50 / 143 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data Maximilian Stupp P. S. Koutsourelakis 45 0 0 29 Apr 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 64 0 0 09 Mar 2025
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 61 0 0 10 Feb 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 42 1 0 06 Nov 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts Hyunsu Kim Yegon Kim Hongseok Yang Juho Lee 47 1 0 05 Jul 2024
OrbitGrasp: $SE(3)$ -Equivariant Grasp Learning Boce Hu Xupeng Zhu Dian Wang Zihao Dong Haojie Huang Chenghao Wang Robin Walters Robert Platt 3DPC 32 10 0 03 Jul 2024
Molecule Graph Networks with Many-body Equivariant Interactions Zetian Mao Jiawen Li Chen Liang Diptesh Das Masato Sumita Koji Tsuda Kelin Xia Koji Tsuda 42 1 0 19 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 42 1 0 24 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 50 0 0 24 Apr 2024
Equivariant Symmetry Breaking Sets YuQing Xie Tess E. Smidt 40 4 0 05 Feb 2024
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds Ilyes Batatia 26 0 0 16 Oct 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 48 2 0 06 Oct 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 42 3 0 28 Sep 2023
E(2)-Equivariant Graph Planning for Navigation Linfeng Zhao Hongyu Li T. Padır Huaizu Jiang Lawson L. S. Wong 25 6 0 22 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 34 3 0 11 Sep 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 47 23 0 20 Aug 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? Linfeng Zhao Owen Howell Jung Yeon Park Xu Zhu Robin Walters Lawson L. S. Wong 36 1 0 17 Jul 2023
Any-dimensional equivariant neural networks Eitan Levin Mateo Díaz 31 7 0 10 Jun 2023
SO(2)-Equivariant Downwash Models for Close Proximity Flight Henry Smith Ajay Shankar Jennifer Gielis J. Blumenkamp A. Prorok 31 7 0 30 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 42 8 0 29 May 2023
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 16 23 0 25 Mar 2023
Densely Connected $G$ -invariant Deep Neural Networks with Signed Permutation Representations Devanshu Agrawal James Ostrowski AI4CE 36 0 0 08 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 35 0 0 08 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 27 6 0 01 Mar 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Yibo Yang Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 24 2 0 20 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 37 80 0 07 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 47 63 0 30 Jan 2023
Spatially Covariant Lesion Segmentation Hang Zhang Rongguang Wang Jinwei Zhang Dongdong Liu Chao Li Jiahao Nick Li MedIm 37 7 0 19 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 32 1 0 08 Jan 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 42 6 0 12 Dec 2022
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 29 7 0 12 Dec 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 19 2 0 15 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 58 17 0 24 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 45 89 0 16 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 51 8 0 07 Oct 2022
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations Chengxuan Lin Tung-I Chen Hsin-Ying Lee Wen-Chin Chen Winston H. Hsu 3DPC 31 11 0 05 Oct 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 27 5 0 22 Sep 2022
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis Florian A. Hölzl Daniel Rueckert Georgios Kaissis FedML MedIm 37 1 0 09 Sep 2022
Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions Nicholas F. Marshall Oscar Mickelin A. Singer 30 8 0 27 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 43 191 0 06 Jul 2022
Offset equivariant networks and their applications Marco Cotogni C. Cusano 32 7 0 01 Jul 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 27 18 0 11 Jun 2022
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis Damien Ferbach Christos Tsirigotis Gauthier Gidel Avishek A. Bose 40 16 0 09 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin Walters Lawson L. S. Wong 24 7 0 08 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 39 19 0 06 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 23 38 0 31 May 2022