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
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey Sébastien Herbreteau Charles Kervrann OOD 24 0 0 23 Feb 2024
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures Bruno Gavranovic Paul Lessard Andrew Dudzik Tamara von Glehn J. G. Araújo Petar Velickovic 30 7 0 23 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 14 13 0 15 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 19 1 0 13 Feb 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey Taojie Kuang Pengfei Liu Zhixiang Ren AI4CE 37 1 0 11 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 19 4 0 07 Feb 2024
On the Completeness of Invariant Geometric Deep Learning Models Zian Li Xiyuan Wang Shijia Kang Muhan Zhang 31 2 0 07 Feb 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning Snir Hordan Tal Amir Nadav Dym 44 5 0 04 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks D. M. Nguyen Nina Lukashina Tai Nguyen An T. Le TrungTin Nguyen Nhat Ho Jan Peters Daniel Sonntag Viktor Zaverkin Mathias Niepert 25 5 0 03 Feb 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D Hao-zhe Huang Owen Howell Dian Wang Xu Zhu Robin G. Walters Robert W. Platt 29 22 0 22 Jan 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 14 5 0 22 Jan 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu Jiaqi Han Aaron Lou Jean Kossaifi Arvind Ramanathan Kamyar Azizzadenesheli J. Leskovec Stefano Ermon A. Anandkumar AI4CE 24 16 0 19 Jan 2024
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting Hao Ai Zidong Cao H. Lu Chen Chen Jiancang Ma Pengyuan Zhou Tae-Kyun Kim Pan Hui Lin Wang 35 3 0 19 Jan 2024
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products Shengjie Luo Tianlang Chen Aditi S. Krishnapriyan 25 19 0 18 Jan 2024
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction Ziyang Yu Wenbing Huang Yang Liu 11 7 0 17 Jan 2024
A quatum inspired neural network for geometric modeling Weitao Du Shengchao Liu Xuecang Zhang AI4CE 19 0 0 03 Jan 2024
Towards Harmonization of SO(3)-Equivariance and Expressiveness: a Hybrid Deep Learning Framework for Electronic-Structure Hamiltonian Prediction Shi Yin Xinyang Pan Xudong Zhu Tianyu Gao Haochong Zhang Feng Wu Lixin He 20 2 0 01 Jan 2024
Diffusion-Driven Generative Framework for Molecular Conformation Prediction Bobin Yang Jie Deng Zhenghan Chen Ruoxue Wu DiffM 21 0 0 22 Dec 2023
Pre-training of Molecular GNNs via Conditional Boltzmann Generator Daiki Koge N. Ono Shigehiko Kanaya AI4CE 11 0 0 20 Dec 2023
Non-Euclidean Spatial Graph Neural Network Zhengwu Zhang Sirui Li Jingcheng Zhou Junxiang Wang Abhinav Angirekula Allen Zhang Liang Zhao GNN 17 0 0 17 Dec 2023
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments Liyuan Zhu Shengyu Huang Konrad Schindler Iro Armeni 31 8 0 14 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction Andac Demir Francis Prael B. Kiziltan 19 2 0 12 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 58 16 0 04 Dec 2023
Equivariant plug-and-play image reconstruction M. Terris Thomas Moreau Nelly Pustelnik Julian Tachella 31 16 0 04 Dec 2023
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networks Maria Bånkestad Keven M. Dorst Göran Widmalm Jerk Rönnols 30 2 0 21 Nov 2023
Equivariant Neural Operator Learning with Graphon Convolution Chaoran Cheng Jian-wei Peng 11 4 0 17 Nov 2023
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing Gian Marco Visani William Galvin Michael N. Pun Armita Nourmohammad 17 5 0 15 Nov 2023
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers P. D. Haan Taco S. Cohen Johann Brehmer 13 9 0 08 Nov 2023
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields Miltiadis Kofinas Erik J. Bekkers N. S. Nagaraja E. Gavves AI4CE 26 6 0 31 Oct 2023
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation Jingyun Yang Congyue Deng Jimmy Wu Rika Antonova Leonidas J. Guibas Jeannette Bohg LM&Ro 26 31 0 24 Oct 2023
De novo protein design using geometric vector field networks Weian Mao Muzhi Zhu Zheng Sun Shuaike Shen Lin Yuanbo Wu Hao Chen Chunhua Shen DiffM 25 10 0 18 Oct 2023
TacticAI: an AI assistant for football tactics Zhe Wang Petar Velickovic Daniel Hennes Nenad Tomašev Laurel Prince ... Pol Moreno N. Heess Michael H. Bowling Demis Hassabis K. Tuyls 54 41 0 16 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu L. Varshney 19 1 0 14 Oct 2023
On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space Zihan Zhou Ruiying Liu Tianshu Yu DiffM 25 0 0 07 Oct 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 33 1 0 06 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 13 24 0 04 Oct 2023
Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders Allan dos Santos Costa Ilan Mitnikov Mario Geiger Manvitha Ponnapati Tess E. Smidt Joseph Jacobson DiffM 18 3 0 04 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 24 2 0 28 Sep 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 32 3 0 28 Sep 2023
HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery Alvaro Prat Hisham Abdel-Aty Gintautas Kamuntavicius Tanya Paquet P. Norvaisas Piero Gasparotto Roy Tal 13 2 0 22 Sep 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning Dingshuo Chen Yanqiao Zhu Jieyu Zhang Yuanqi Du Zhixun Li Qiang Liu Shu Wu Liang Wang 21 15 0 15 Sep 2023
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly Ruihai Wu Chenrui Tie Yushi Du Yan Zhao Hao Dong 21 19 0 13 Sep 2023
Molecular Conformation Generation via Shifting Scores Zihan Zhou Ruiying Liu Chaolong Ying Ruimao Zhang Tianshu Yu DiffM 24 2 0 12 Sep 2023
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling Kin Long Kelvin Lee Carmelo Gonzales Marcel Nassar Matthew Spellings Mikhail Galkin Santiago Miret 25 15 0 12 Sep 2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation Sungjun Cho Dae-Woong Jeong Sung Moon Ko Jinwoo Kim Sehui Han Seunghoon Hong Honglak Lee Moontae Lee AI4CE DiffM 23 1 0 08 Sep 2023
Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks Daniel Levy Sekouba Kaba Carmelo Gonzales Santiago Miret Siamak Ravanbakhsh 31 5 0 06 Sep 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation Hyunwoo Ryu Jiwoo Kim Hyun Seok Ahn Junwoo Chang Joohwan Seo Taehan Kim Yubin Kim Chaewon Hwang Jongeun Choi R. Horowitz DiffM 16 33 0 06 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 18 27 0 03 Sep 2023
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer Rui Feng Huan Tran Aubrey Toland Binghong Chen Qi Zhu R. Ramprasad Chao Zhang 11 1 0 01 Sep 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 30 18 0 25 Aug 2023