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
On Non-Linear operators for Geometric Deep Learning G. Sergeant-Perthuis Jakob Maier Joan Bruna Edouard Oyallon 19 5 0 06 Jul 2022
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation Zishuo Zheng Chunyu Lin Lang Nie K. Liao Zhijie Shen Yao Zhao MDE 44 13 0 06 Jul 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 21 18 0 11 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews 26 0 0 05 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 20 38 0 31 May 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling Mingxing Xu Chenglin Li Wenrui Dai Siheng Chen Junni Zou P. Frossard H. Xiong 34 2 0 31 May 2022
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry L. Chauvin W. Wells Matthew Toews 8 1 0 30 May 2022
Equivariant Mesh Attention Networks Sourya Basu Jose Gallego-Posada Francesco Vigano J. Rowbottom Taco S. Cohen 3DPC MDE AI4CE 48 10 0 21 May 2022
Deep Learning for Omnidirectional Vision: A Survey and New Perspectives Hao Ai Zidong Cao Jin Zhu Haotian Bai Yucheng Chen Ling Wang 35 35 0 21 May 2022
A Classification of $G$ -invariant Shallow Neural Networks Devanshu Agrawal James Ostrowski 19 7 0 18 May 2022
Rotationally Equivariant 3D Object Detection Hong-Xing Yu Jiajun Wu Li Yi 3DPC 14 29 0 28 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin G. Walters 25 42 0 24 Apr 2022
A case for using rotation invariant features in state of the art feature matchers Georg Bökman Fredrik Kahl 12 36 0 21 Apr 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Yan Sun Kostas Daniilidis 3DPC 32 30 0 05 Apr 2022
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs David Diaz-Guerra A. Miguel J. R. Beltrán 23 22 0 31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 42 57 0 31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 29 15 0 31 Mar 2022
Quantum Finite Automata and Quiver Algebras G. Jeffreys Siu-Cheong Lau 14 0 0 15 Mar 2022
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation Jiaming Zhang Kailun Yang Chaoxiang Ma Simon Reiß Kunyu Peng Rainer Stiefelhagen ViT 29 74 0 02 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 22 5 0 22 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 50 38 0 01 Feb 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 40 3 0 31 Jan 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 11 0 28 Jan 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 24 34 0 28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 38 73 0 28 Jan 2022
Noncommutative Geometry of Computational Models and Uniformization for Framed Quiver Varieties G. Jeffreys Siu-Cheong Lau 12 3 0 15 Jan 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 36 0 0 03 Jan 2022
Equivariance and generalization in neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 11 2 0 23 Dec 2021
Generalization capabilities of neural networks in lattice applications S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 6 0 0 23 Dec 2021
Preserving gauge invariance in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh 13 1 0 21 Dec 2021
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 33 1 0 17 Dec 2021
Co-domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal Yifei Xing Stella X. Yu 30 12 0 02 Dec 2021
360MonoDepth: High-Resolution 360° Monocular Depth Estimation M. Rey-Area Mingze Yuan Christian Richardt MDE 24 71 0 30 Nov 2021
The Physics of Machine Learning: An Intuitive Introduction for the Physical Scientist S. Alexander Sarah Bawabe Batia Friedman-Shaw M. Toomey PINN AI4CE 14 2 0 27 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 18 0 0 25 Nov 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups Hugo Aguettaz Erik J. Bekkers M. Defferrard GNN 11 1 0 23 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds R. Wiersma Ahmad Nasikun E. Eisemann Klaus Hildebrandt 3DPC 19 16 0 16 Nov 2021
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 19 25 0 16 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 48 15 0 16 Nov 2021
Lattice gauge symmetry in neural networks Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 16 0 0 08 Nov 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 28 20 0 27 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 27 14 0 18 Oct 2021
Augmenting Imitation Experience via Equivariant Representations Dhruv Sharma Ali Kuwajerwala Florian Shkurti 19 2 0 14 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi C. Pehlevan 18 5 0 14 Oct 2021
A simple equivariant machine learning method for dynamics based on scalars Weichi Yao Kate Storey-Fisher D. Hogg Soledad Villar AI4CE 39 9 0 07 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 18 1 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 33 39 0 05 Oct 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021