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
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 30 28 0 29 May 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance Mircea Petrache Shubhendu Trivedi 30 22 0 27 May 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 21 1 0 26 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 19 7 0 25 May 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction Hao Wu Wei Xion Fan Xu Xian-Sheng Hua C. L. Philip Chen Xiansheng Hua AI4TS 21 27 0 19 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent Organization Adam T. Rupe K. Kashinath Nalini Kumar James P. Crutchfield 9 0 0 25 Apr 2023
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance Haiwen Feng Peter Kulits Shichen Liu Michael J. Black Victoria Fernandez-Abrevaya 3DPC 3DH 17 10 0 20 Apr 2023
Gauge-equivariant pooling layers for preconditioners in lattice QCD C. Lehner T. Wettig AI4CE 17 8 0 20 Apr 2023
DarSwin: Distortion Aware Radial Swin Transformer Akshay Athwale Ichrak Shili Émile Bergeron Arman Afrasiyabi Justin Lague Ola Ahmad Jean-François Lalonde 21 6 0 19 Apr 2023
Domain Generalization In Robust Invariant Representation Gauri Gupta Ritvik Kapila Keshav Gupta Ramesh Raskar OOD 14 0 0 07 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka J. C. V. Gemert 18 7 0 05 Apr 2023
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View Zhifeng Teng Jiaming Zhang Kailun Yang Kunyu Peng Haowen Shi Simon Reiß Ke Cao Rainer Stiefelhagen MDE 21 12 0 21 Mar 2023
Geometrical aspects of lattice gauge equivariant convolutional neural networks J. Aronsson David I. Müller Daniel Schuh 15 7 0 20 Mar 2023
Computing equivariant matrices on homogeneous spaces for Geometric Deep Learning and Automorphic Lie Algebras V. Knibbeler 22 1 0 13 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Invariant Representations of Embedded Simplicial Complexes Taejin Paik 21 1 0 27 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 22 11 0 14 Feb 2023
Gauge-equivariant neural networks as preconditioners in lattice QCD C. Lehner T. Wettig AI4CE 10 9 0 10 Feb 2023
Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning Aurelio Amerio A. Cuoco N. Fornengo 22 4 0 03 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin G. Walters Nima Dehmamy Rose Yu GAN 19 22 0 01 Feb 2023
Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models J. Wider Jakob Kruse N. Weitzel J. Bühler Ullrich Kothe K. Rehfeld OOD AI4Cl 14 1 0 31 Jan 2023
How Jellyfish Characterise Alternating Group Equivariant Neural Networks Edward Pearce-Crump 21 4 0 24 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 16 1 0 08 Jan 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 14 0 0 30 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis Qijian Zhang Junhui Hou Y. Qian Yiming Zeng Juyong Zhang Ying He 3DPC 32 24 0 17 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 24 5 0 12 Dec 2022
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes Sara Hahner Felix Kerkhoff Jochen Garcke 6 2 0 12 Dec 2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations Yemo Li Yiwen Pang Bin Shan AI4CE 24 3 0 08 Dec 2022
Applications of Lattice Gauge Equivariant Neural Networks Matteo Favoni A. Ipp David I. Müller 9 6 0 01 Dec 2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation Di Luo Shunyue Yuan J. Stokes B. Clark 21 14 0 06 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 19 1 0 05 Nov 2022
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks S. Balachandar A. Poulenard Congyue Deng Leonidas J. Guibas 22 1 0 29 Oct 2022
Position tracking of a varying number of sound sources with sliding permutation invariant training David Diaz-Guerra A. Politis Tuomas Virtanen 17 5 0 26 Oct 2022
Interpolated SelectionConv for Spherical Images and Surfaces David Hart Michael Whitney B. Morse 3DH 18 2 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim A. Schwing Minh Do Raymond A. Yeh 29 9 0 14 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 26 73 0 14 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models Sourya Basu P. Sattigeri K. Ramamurthy Vijil Chenthamarakshan Kush R. Varshney L. Varshney Payel Das 8 18 0 13 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 26 12 0 03 Oct 2022
Machine learning and invariant theory Ben Blum-Smith Soledad Villar AI4CE 31 16 0 29 Sep 2022
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions Jeremy Ocampo Matthew Alexander Price Jason D. McEwen 13 13 0 27 Sep 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 28 12 0 07 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 11 7 0 07 Aug 2022
Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang Muhan Zhang 30 8 0 01 Aug 2022
Quiver neural networks I. Ganev Robin G. Walters 28 4 0 26 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 31 19 0 25 Jul 2022
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation Jiaming Zhang Kailun Yang Haowen Shi Simon Reiß Kunyu Peng Chaoxiang Ma Haodong Fu Philip H. S. Torr Kaiwei Wang Rainer Stiefelhagen ViT MDE 24 35 0 25 Jul 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 13 4 0 18 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 24 14 0 07 Jul 2022