Gauge Equivariant Convolutional Networks and the Icosahedral CNN

11 February 2019

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

50 / 258 papers shown

Title
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 21 43 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 21 53 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 39 37 0 19 Oct 2020
Efficient Generalized Spherical CNNs Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 16 33 0 09 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 18 57 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 18 2 0 02 Oct 2020
Deep learning for gravitational-wave data analysis: A resampling white-box approach M. Morales J. Antelis Claudia Moreno A. Nesterov 11 10 0 09 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 6 0 0 03 Sep 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 14 8 0 26 Aug 2020
Polylidar3D -- Fast Polygon Extraction from 3D Data J. Castagno E. Atkins 3DPC 6 9 0 23 Jul 2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention M. Sahasrabudhe Stergios Christodoulidis R. Salgado S. Michiels S. Loi Fabrice André Nikos Paragios Maria Vakalopoulou 6 64 0 16 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 18 43 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 30 24 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 Icosahedron Ren Komatsu Hiromitsu Fujii Y. Tamura Atsushi Yamashita Hajime Asama MDE 18 21 0 14 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 24 90 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 E. Turner BDL 9 77 0 02 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Variational Autoencoding of PDE Inverse Problems Daniel J. Tait Theodoros Damoulas AI4CE 9 12 0 28 Jun 2020
Deep Orthogonal Decompositions for Convective Nowcasting Daniel J. Tait AI4Cl 6 1 0 28 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 11 68 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 10 371 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 13 136 0 08 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 15 69 0 02 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 35 42 0 20 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 May 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 16 41 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 19 35 0 08 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 16 10 0 30 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 100 127 0 11 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 20 846 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 13 74 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin G. Walters Rose Yu AI4CE 38 167 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 16 89 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 20 88 0 27 Dec 2019
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 10 105 0 19 Dec 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 17 501 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 11 3 0 18 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 11 24 0 18 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 8 149 0 14 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 13 129 0 26 Sep 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 14 19 0 25 Sep 2019
Towards Unsupervised Segmentation of Extreme Weather Events Adam T. Rupe K. Kashinath Nalini Kumar Victor W. Lee P. Prabhat James P. Crutchfield 13 3 0 16 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 13 11 0 13 Sep 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres Chao Zhang Stephan Liwicki William A. P. Smith R. Cipolla 4 80 0 30 Jul 2019
On the "steerability" of generative adversarial networks Ali Jahanian Lucy Chai Phillip Isola GAN OOD 15 396 0 16 Jul 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 19 1,194 0 13 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 11 421 0 06 Jun 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 38 18 0 06 Jun 2019