SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

18 June 2020

Papers citing "SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks"

50 / 412 papers shown

Title
Spacetime $E(n)$ -Transformer: Equivariant Attention for Spatio-temporal Graphs Sergio G. Charles 25 0 0 12 Aug 2024
EqvAfford: SE(3) Equivariance for Point-Level Affordance Learning Yue Chen Chenrui Tie Ruihai Wu Hao Dong 40 3 0 04 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
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments Runfa Chen Ling Wang Yu Du Tianrui Xue Fuchun Sun Jianwei Zhang Wenbing Huang OffRL 37 1 0 17 Jul 2024
Metric Learning for Clifford Group Equivariant Neural Networks Riccardo Ali Paulina Kulyt.e Haitz Sáez de Ocáriz Borde Pietro Lio' 23 0 0 13 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
SE(3)-bi-equivariant Transformers for Point Cloud Assembly Ziming Wang Rebecka Jörnsten 3DPC 36 2 0 12 Jul 2024
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields Shihao Shao Haoran Geng Zun Wang Qinghua Cui 3DV 22 0 0 02 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 40 1 0 02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 40 2 0 01 Jul 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 36 5 0 24 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng Yang Liu Jia Li Jianhua Yao Yu Rong AI4CE 43 1 0 24 Jun 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara OffRL 27 1 0 21 Jun 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 35 1 0 19 Jun 2024
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization Zhang Wan Shuo Wang Xudong Zhang 36 0 0 18 Jun 2024
Translation Equivariant Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Junhyuck Kim Lakee Sivaraya Stratis Markou James Requeima W. Bruinsma Richard E. Turner 41 4 0 18 Jun 2024
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation Tong Zhang Yingdong Hu Jiacheng You Yang Gao 21 7 0 15 Jun 2024
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin Jacob Helwig Shurui Gui Shuiwang Ji 32 7 0 11 Jun 2024
Hidden Holes: topological aspects of language models Stephen Fitz P. Romero Jiyan Jonas Schneider 27 0 0 09 Jun 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang Chang-Shu Liu Nianlong Zou He Zhang Xinran Wei Lin Huang Lijun Wu Bin Shao 23 1 0 06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 58 1 0 06 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 38 4 0 05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 29 1 0 05 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 35 0 0 05 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery Wilson Gregory Josué Tonelli-Cueto Nicholas F. Marshall Andrew S. Lee Soledad Villar 37 1 0 03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 34 0 0 03 Jun 2024
Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks Bumju Kwak Jeonghee Jo 33 0 0 01 Jun 2024
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 31 0 0 01 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules Trevor Norton Debswapna Bhattacharya MedIm DiffM 40 2 0 31 May 2024
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning Hongfei Wu Lijun Wu Guoqing Liu Zhirong Liu Bin Shao Zun Wang 30 1 0 26 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 27 5 0 25 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 22 1 0 24 May 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 47 4 0 24 May 2024
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin Francesco Alesiani Takashi Maruyama Federico Errica Henrik Christiansen Makoto Takamoto Nicolas Weber Mathias Niepert 36 5 0 23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 67 41 0 23 May 2024
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design Amit Kadan Kevin Ryczko Erika Lloyd A. Roitberg Takeshi Yamazaki 85 0 0 20 May 2024
De novo antibody design with SE(3) diffusion Daniel Cutting Frédéric A. Dreyer David Errington Constantin Schneider Charlotte M. Deane DiffM 33 3 0 13 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 35 4 0 05 May 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation Chongkai Gao Zhengrong Xue Shuying Deng Tianhai Liang Siqi Yang Lin Shao Huazhe Xu 3DPC 29 10 0 28 Mar 2024
Just Add $100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem$ Mincheol Chang Siyeong Lee Jinkyu Kim Namil Kim 3DPC 18 1 0 18 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 36 4 0 17 Mar 2024
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis Yiyang Chen Lunhao Duan Shanshan Zhao Changxing Ding Dacheng Tao 32 2 0 17 Mar 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 29 1 0 15 Mar 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao Tess E. Smidt Abhishek Das DiffM AI4CE 27 10 0 14 Mar 2024
Category-Agnostic Pose Estimation for Point Clouds Bowen Liu Wei Liu Siang Chen Pengwei Xie Guijin Wang 3DPC 35 2 0 12 Mar 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas Vishnu Suresh Lokhande Peiran Li Vikas Singh OOD 28 0 0 05 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 32 20 0 01 Mar 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design Jiaqi Guan Xiangxin Zhou Yuwei Yang Yu Bao Jian-wei Peng Jianzhu Ma Qiang Liu Liang Wang Quanquan Gu 22 66 0 26 Feb 2024
Pretraining Strategy for Neural Potentials Zehua Zhang Zijie Li A. Farimani AI4CE 37 0 0 24 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups Sourya Basu Suhas Lohit Matthew Brand 32 0 0 23 Feb 2024