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Smooth, exact rotational symmetrization for deep learning on point clouds

30 May 2023

Papers citing "Smooth, exact rotational symmetrization for deep learning on point clouds"

43 / 43 papers shown

Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 160 5 0 03 Apr 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning Filippo Bigi Marcel F. Langer Michele Ceriotti AI4CE 234 12 0 16 Dec 2024
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 85 62 0 28 Apr 2023
Spherical Channels for Modeling Atomic Interactions C. L. Zitnick Abhishek Das Adeesh Kolluru Janice Lan Muhammed Shuaibi Anuroop Sriram Zachary W. Ulissi Brandon M. Wood 136 59 0 29 Jun 2022
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics Albert Musaelian Simon L. Batzner A. Johansson Lixin Sun Cameron J. Owen M. Kornbluth Boris Kozinsky 98 459 0 11 Apr 2022
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials Philipp Thölke Gianni De Fabritiis AI4CE 91 197 0 05 Feb 2022
Systematic Generalization with Edge Transformers Leon Bergen Timothy J. O'Donnell Dzmitry Bahdanau 55 47 0 01 Dec 2021
Voxel Transformer for 3D Object Detection Jiageng Mao Yujing Xue Minzhe Niu Haoyue Bai Jiashi Feng Xiaodan Liang Hang Xu Chunjing Xu 3DPC ViT 75 413 0 06 Sep 2021
PVT: Point-Voxel Transformer for Point Cloud Learning Cheng Zhang Haocheng Wan Xinyi Shen Zizhao Wu 3DPC ViT 88 84 0 13 Aug 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 94 60 0 15 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 103 464 0 02 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 180 328 0 25 Apr 2021
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry Stefan Klus Patrick Gelß Feliks Nuske Frank Noé 15 21 0 31 Mar 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds Mutian Xu Runyu Ding Hengshuang Zhao Xiaojuan Qi 3DPC 108 402 0 26 Mar 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra Kristof T. Schütt Oliver T. Unke M. Gastegger 110 542 0 05 Feb 2021
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 92 468 0 17 Jan 2021
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 153 1,624 0 17 Dec 2020
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules Johannes Klicpera Shankari Giri Johannes T. Margraf Stephan Günnemann 79 324 0 28 Nov 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 181 2,003 0 02 Nov 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 282 532 0 20 Oct 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 153 697 0 18 Jun 2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning Marcel F. Langer Alex Goessmann M. Rupp AI4CE 61 96 0 26 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 127 881 0 06 Mar 2020
Deep Learning for 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 101 1,681 0 27 Dec 2019
Are Transformers universal approximators of sequence-to-sequence functions? Chulhee Yun Srinadh Bhojanapalli A. S. Rawat Sashank J. Reddi Sanjiv Kumar 118 358 0 20 Dec 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 101 425 0 06 Jun 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 169 2,541 0 18 Apr 2019
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 74 3,235 0 22 Mar 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 98 978 0 22 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,168 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 235 2,450 0 23 Jan 2018
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics Han Wang Linfeng Zhang Jiequn Han E. Weinan AI4CE 72 1,244 0 11 Dec 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 155 1,086 0 26 Jun 2017
Continuously Differentiable Exponential Linear Units Jonathan T. Barron 56 141 0 24 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,488 0 04 Apr 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning Stefan Elfwing E. Uchibe Kenji Doya 136 1,738 0 10 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 813 3,293 0 24 Nov 2016
Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia 3DPC 200 2,781 0 23 Nov 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 174 5,037 0 27 Jun 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 162 3,220 0 05 May 2015