Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

50 / 502 papers shown

Title
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Minh Nguyen A. Roy Haoran Zhang BDL DRL 29 1 0 25 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation Giammarco La Barbera Pietro Gori Haithem Boussaid Bruno Belucci A. Delmonte Jeanne Goulin S. Sarnacki L. Rouet Isabelle Bloch ViT MedIm 19 4 0 06 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 20 81 0 05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 116 1,569 0 23 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 27 28 0 18 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 31 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 33 1 0 07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 42 22 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 39 438 0 02 Jun 2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery Pourya Shamsolmoali Masoumeh Zareapoor Jocelyn Chanussot Huiyu Zhou Jie Yang ObjD 19 35 0 02 Jun 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 37 170 0 19 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 26 184 0 25 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 35 20 0 22 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 187 0 19 Apr 2021
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics Kevin Zeng M. Graham AI4CE 18 22 0 09 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 38 2 0 07 Apr 2021
Fast Jacobian-Vector Product for Deep Networks Randall Balestriero Richard Baraniuk 31 4 0 01 Apr 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching Udit Singh Parihar Aniket Gujarathi K. Mehta Satyajit Tourani Sourav Garg Michael Milford K. M. Krishna 26 29 0 15 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 34 521 0 13 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 44 8 0 13 Mar 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 91 978 0 04 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 26 48 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 37 6 0 01 Mar 2021
Principled Simplicial Neural Networks for Trajectory Prediction T. Roddenberry Nicholas Glaze Santiago Segarra 3DPC 35 91 0 19 Feb 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 35 981 0 19 Feb 2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data Axel Elaldi Neel Dey Heejong Kim Guido Gerig 30 18 0 17 Feb 2021
Input Similarity from the Neural Network Perspective Guillaume Charpiat N. Girard Loris Felardos Y. Tarabalka 32 68 0 10 Feb 2021
RoI Tanh-polar Transformer Network for Face Parsing in the Wild Yiming Lin Jie Shen Yujiang Wang Maja Pantic CVBM ViT 28 48 0 04 Feb 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zhe Zhang 49 47 0 27 Jan 2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation J. L. Rumberger Xiaoyan Yu Peter Hirsch Melanie Dohmen Vanessa Emanuela Guarino Ashkan Mokarian Lisa Mais Jan Funke Dagmar Kainmueller 35 6 0 14 Jan 2021
Neural Network Approximations for Calabi-Yau Metrics Vishnu Jejjala D. M. Peña Challenger Mishra 29 53 0 31 Dec 2020
Fusing CNNs and statistical indicators to improve image classification Javier Huertas-Tato Alejandro Martín Julián Fierrez David Camacho 22 37 0 20 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 31 111 0 20 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 96 0 10 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 22 5 0 08 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition Abdullah Hamdi Silvio Giancola Guohao Li 3DV 3DPC 36 199 0 26 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 41 30 0 25 Nov 2020
Intrinsic Image Decomposition using Paradigms David A. Forsyth Jason Rock 27 24 0 20 Nov 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis Ruixuan Yu Xin Wei Federico Tombari Jian Sun 3DPC 27 37 0 18 Nov 2020
Structured Visual Search via Composition-aware Learning Mert Kilickaya A. Smeulders CoGe 30 5 0 27 Oct 2020
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi Ma 22 21 0 27 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 44 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 35 53 0 21 Oct 2020