Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

28 October 2021

Papers citing "Roto-translated Local Coordinate Frames For Interacting Dynamical Systems"

27 / 27 papers shown

Title
Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations Qingyu Xiao Zixuan Wu Matthew C. Gombolay 86 1 0 24 Feb 2025
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 38 2 0 15 Oct 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks Yoav Gelberg Tycho F. A. van der Ouderaa Mark van der Wilk Y. Gal AAML 22 3 0 10 Aug 2024
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization Xiangxin Zhou Dongyu Xue Ruizhe Chen Zaixiang Zheng Liang Wang Quanquan Gu DiffM 27 19 0 25 Mar 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 33 4 0 17 Mar 2024
PPFlow: Target-aware Peptide Design with Torsional Flow Matching Haitao Lin Odin Zhang Huifeng Zhao Dejun Jiang Lirong Wu Zicheng Liu Yufei Huang Stan Z. Li 31 12 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
PGODE: Towards High-quality System Dynamics Modeling Xiao Luo Yiyang Gu Huiyu Jiang Hang Zhou Jinsheng Huang Wei Ju Zhiping Xiao Ming Zhang Yizhou Sun AI4CE 27 0 0 11 Nov 2023
FFINet: Future Feedback Interaction Network for Motion Forecasting Miao Kang Shengqi Wang Sanping Zhou Ke Ye Jingjing Jiang Nanning Zheng 15 7 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 23 6 0 31 Oct 2023
Object-centric Representations for Interactive Online Learning with Non-Parametric Methods Nikhil Shinde Jacob J. Johnson Sylvia L. Herbert Michael C. Yip LM&Ro OffRL 22 1 0 19 Jul 2023
On Robot Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Guanang Su Ondrej Biza Robin G. Walters Robert W. Platt 10 9 0 10 Jun 2023
Graph Switching Dynamical Systems Yongtuo Liu Sara Magliacane Miltiadis Kofinas E. Gavves 44 7 0 01 Jun 2023
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration Haitao Lin Yufei Huang Haotian Zhang Lirong Wu Siyuan Li Zhiyuan Chen Stan Z. Li DiffM 6 23 0 30 May 2023
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems Lingbing Guo Wei-Qun Wang Zhuo Chen Ningyu Zhang Zequn Sun Yixuan Lai Qiang Zhang Huajun Chen 8 5 0 24 May 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 19 96 0 20 Mar 2023
Geometric Clifford Algebra Networks David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 12 25 0 13 Feb 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization Alex Morehead Jianlin Cheng DiffM 8 21 0 08 Feb 2023
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 15 60 0 11 Nov 2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs Alex Morehead Jianlin Cheng GNN 3DV AI4CE 9 12 0 04 Nov 2022
Protein Sequence and Structure Co-Design with Equivariant Translation Chence Shi Chuanrui Wang Jiarui Lu Bozitao Zhong Jian Tang DiffM 4 47 0 17 Oct 2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang Muhan Zhang 25 8 0 01 Aug 2022
Sample Efficient Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Ondrej Biza Guanang Su Robin G. Walters Robert W. Platt DRL 81 66 0 18 Feb 2022
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 83 120 0 11 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016