v1v2v3 (latest)

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

International Conference on Machine Learning (ICML), 2019

11 February 2019

Papers citing "Gauge Equivariant Convolutional Networks and the Icosahedral CNN"

50 / 275 papers shown

Title
Generalization capabilities of translationally equivariant neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 245 22 0 26 Mar 2021
Equivariant Point Network for 3D Point Cloud AnalysisComputer Vision and Pattern Recognition (CVPR), 2021 Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 166 112 0 25 Mar 2021
Concentric Spherical GNN for 3D Representation Learning James Fox Bo Zhao S. Rajamanickam R. Ramprasad Le Song 3DPC 111 4 0 18 Mar 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 196 25 0 16 Mar 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Zorah Lähner DiffM MedIm 134 30 0 13 Feb 2021
Spherical Message Passing for 3D Graph NetworksInternational Conference on Learning Representations (ICLR), 2021 Lu Dong Limei Wang Meng Liu Xuan Zhang Bora Oztekin Shuiwang Ji GNN 471 236 0 09 Feb 2021
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNsInternational Conference on Learning Representations (ICLR), 2021 Jason D. McEwen C. Wallis Augustine N. Mavor-Parker 401 24 0 04 Feb 2021
Kähler Geometry of Quiver Varieties and Machine Learning G. Jeffreys Siu-Cheong Lau 120 5 0 27 Jan 2021
Introduction to Normalizing Flows for Lattice Field Theory M. S. Albergo D. Boyda D. Hackett G. Kanwar Kyle Cranmer S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 224 63 0 20 Jan 2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation Yaohui Wang Francois Bremond A. Dantcheva VGen GAN 350 26 0 08 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2021 Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 445 101 0 04 Jan 2021
DeepSphere: a graph-based spherical CNNInternational Conference on Learning Representations (ICLR), 2020 M. Defferrard Martino Milani Frédérick Gusset Nathanael Perraudin GNN 3DPC 240 95 0 30 Dec 2020
Interpretable Image Clustering via Diffeomorphism-Aware K-Means Romain Cosentino Randall Balestriero Yanis Bahroun Anirvan M. Sengupta Richard Baraniuk B. Aazhang 104 0 0 16 Dec 2020
Disentangling images with Lie group transformations and sparse coding Ho Yin Chau Frank Qiu Yubei Chen Bruno A. Olshausen 111 13 0 11 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 111 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 138 0 0 04 Dec 2020
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications Quentin Paletta Joan Lasenby 103 12 0 02 Dec 2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal FeaturesComputer Vision and Pattern Recognition (CVPR), 2020 Cheng Sun Min Sun Hwann-Tzong Chen 3DV 175 150 0 23 Nov 2020
Learning Sub-Patterns in Piecewise Continuous FunctionsNeurocomputing (Neurocomputing), 2020 Anastasis Kratsios Behnoosh Zamanlooy 209 11 0 29 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 189 45 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 220 58 0 21 Oct 2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks M. Fenton Alexander Shmakov Ta-Wei Ho S. Hsu D. Whiteson Pierre Baldi 204 43 0 19 Oct 2020
Efficient Generalized Spherical CNNsInternational Conference on Learning Representations (ICLR), 2020 Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 267 36 0 09 Oct 2020
Group Equivariant Stand-Alone Self-Attention For VisionInternational Conference on Learning Representations (ICLR), 2020 David W. Romero Jean-Baptiste Cordonnier MDE 315 67 0 02 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval Rao Fu Jie Yang Jiawei Sun Fang-Lue Zhang Yu-kun Lai Lin Gao 3DV 3DPC 3DH 160 3 0 02 Oct 2020
Deep learning for gravitational-wave data analysis: A resampling white-box approachItalian National Conference on Sensors (INS), 2020 M. Morales J. Antelis Claudia Moreno A. Nesterov 230 14 0 09 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 120 0 0 03 Sep 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 130 8 0 26 Aug 2020
Polylidar3D -- Fast Polygon Extraction from 3D DataItalian National Conference on Sensors (INS), 2020 J. Castagno E. Atkins 3DPC 114 10 0 23 Jul 2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using AttentionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 M. Sahasrabudhe Stergios Christodoulidis R. Salgado S. Michiels S. Loi Fabrice André Nikos Paragios Maria Vakalopoulou 132 68 0 16 Jul 2020
Natural Graph NetworksNeural Information Processing Systems (NeurIPS), 2020 P. D. Haan Taco S. Cohen Max Welling GNN 156 51 0 16 Jul 2020
When and how CNNs generalize to out-of-distribution category-viewpoint combinations Spandan Madan Timothy M. Henry Jamell Dozier Helen Ho Nishchal Bhandari Tomotake Sasaki F. Durand Hanspeter Pfister Xavier Boix OOD 263 29 0 15 Jul 2020
$360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron$ 360 $^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of IcosahedronIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Ren Komatsu Hiromitsu Fujii Y. Tamura Atsushi Yamashita Hajime Asama MDE 158 25 0 14 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 240 103 0 06 Jul 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Y. K. Foong W. Bruinsma Jonathan Gordon Yann Dubois James Requeima Richard Turner BDL 246 80 0 02 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 280 13 0 30 Jun 2020
Variational Autoencoding of PDE Inverse Problems Daniel J. Tait Theodoros Damoulas AI4CE 103 12 0 28 Jun 2020
Deep Orthogonal Decompositions for Convective Nowcasting Daniel J. Tait AI4Cl 67 1 0 28 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 189 72 0 18 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 501 462 0 16 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 209 153 0 08 Jun 2020
CNNs on Surfaces using Rotation-Equivariant FeaturesACM Transactions on Graphics (TOG), 2020 R. Wiersma E. Eisemann Klaus Hildebrandt 215 76 0 02 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Avi Schwarzschild Hamed Hassani George J. Pappas OOD 244 43 0 20 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 233 25 0 13 May 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 159 45 0 10 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 141 38 0 08 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 131 15 0 30 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphsInternational Conference on Learning Representations (ICLR), 2020 P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 337 135 0 11 Mar 2020
Directional Message Passing for Molecular GraphsInternational Conference on Learning Representations (ICLR), 2020 Johannes Klicpera Janek Groß Stephan Günnemann 494 988 0 06 Mar 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 222 81 0 20 Feb 2020