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

18 June 2020

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

50 / 54 papers shown

Title
Discrete Neural Flow Samplers with Locally Equivariant Transformer Zijing Ou Ruixiang Zhang Yingzhen Li 32 0 0 23 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 111 0 0 07 May 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 111 1 0 14 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey Joohwan Seo Soochul Yoo Junwoo Chang Hyunseok An Hyunwoo Ryu Soomi Lee Arvind Kruthiventy Jongeun Choi R. Horowitz 78 2 0 12 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li Zaishuo Xia Lin Huang Xinran Wei Han Yang ... Zun Wang Chang-Shu Liu Jia Zhang Jia Zhang Mark B. Gerstein 102 2 0 26 Feb 2025
Approximate Equivariance in Reinforcement Learning Jung Yeon Park Sujay Bhatt Sihan Zeng Lawson L. S. Wong Alec Koppel Sumitra Ganesh Robin Walters 47 1 0 06 Nov 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 63 2 0 23 Oct 2024
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs Wei Wu Chao Wang L. Chen Mingze Yin Yiheng Zhu Kun Fu Jieping Ye Hui Xiong Zheng Wang 55 1 0 04 Oct 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 75 2 0 18 Sep 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 72 2 0 02 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 56 1 0 19 Jun 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 76 8 0 24 May 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 52 1 0 24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 169 49 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 109 1 0 20 May 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 86 23 0 01 Mar 2024
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Yongming Rao Jiwen Lu Jie Zhou 3DPC 39 131 0 29 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 99 322 0 25 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 58 91 0 07 Feb 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 63 516 0 19 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 100 149 0 14 Oct 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua D. Rosen Sai-Kit Yeung 3DPC 40 169 0 17 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mikaela Angelina Uy Quang Pham Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DV 3DPC 65 773 0 13 Aug 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 57 1,208 0 13 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 75 423 0 06 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 49 167 0 28 May 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 59 379 0 06 Apr 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 58 163 0 25 Jan 2019
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution Yang You Yujing Lou Qi Liu Yu-Wing Tai Lizhuang Ma Cewu Lu Weiming Wang 3DPC 30 66 0 23 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 62 501 0 06 Jul 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 50 107 0 12 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 198 769 0 30 Mar 2018
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 108 2,269 0 06 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 54 107 0 05 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 120 290 0 28 Feb 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 73 959 0 22 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 113 898 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 221 6,076 0 24 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 195 2,429 0 23 Jan 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 194 8,867 0 21 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 296 19,902 0 30 Oct 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 110 1,063 0 26 Jun 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 78 237 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 422 129,831 0 12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 247 11,000 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 252 7,388 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 191 2,441 0 10 Mar 2017
A Structured Self-attentive Sentence Embedding Zhouhan Lin Minwei Feng Cicero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou Yoshua Bengio 101 2,132 0 09 Mar 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 93 498 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 94 705 0 14 Dec 2016