Universal approximations of invariant maps by neural networks

26 April 2018

Papers citing "Universal approximations of invariant maps by neural networks"

50 / 134 papers shown

Title
Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems Santhosh Karnik Rongrong Wang M. Iwen 14 2 0 28 Aug 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 21 6 0 18 Aug 2022
On Non-Linear operators for Geometric Deep Learning G. Sergeant-Perthuis Jakob Maier Joan Bruna Edouard Oyallon 19 5 0 06 Jul 2022
Offset equivariant networks and their applications Marco Cotogni C. Cusano 24 7 0 01 Jul 2022
Discretization Invariant Networks for Learning Maps between Neural Fields Clinton Jia Wang Polina Golland 30 0 0 02 Jun 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups Sho Sonoda Isao Ishikawa Masahiro Ikeda 30 9 0 30 May 2022
Efficient anti-symmetrization of a neural network layer by taming the sign problem Nilin Abrahamsen Lin Lin 23 0 0 24 May 2022
Predicting Human Psychometric Properties Using Computational Language Models Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato 22 7 0 12 May 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model Michael Kohler Benjamin Kohler 15 5 0 11 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 26 39 0 05 May 2022
Design equivariant neural networks for 3D point cloud Thuan Trang Thieu N. Vo K. Nguyen 3DPC 19 0 0 02 May 2022
Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions? Anastasis Kratsios Behnoosh Zamanlooy MLT 67 3 0 24 Apr 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Permutation Invariant Representations with Applications to Graph Deep Learning R. Balan Naveed Haghani M. Singh 23 25 0 14 Mar 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 24 27 0 11 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 32 13 0 02 Mar 2022
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy Xiao Liang J. Chun H. Morgan T. Bai D. Nguyen Justin C. Park Steve B. Jiang 12 8 0 08 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 32 14 0 31 Jan 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 37 3 0 31 Jan 2022
CNN-based regularisation for CT image reconstructions Attila Juhos MedIm 11 0 0 22 Jan 2022
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 43 111 0 18 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 33 13 0 03 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 26 19 0 30 Nov 2021
Equivariant and Invariant Reynolds Networks Akiyoshi Sannai M. Kawano Wataru Kumagai 43 5 0 15 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
Implicit Bias of Linear Equivariant Networks Hannah Lawrence Kristian Georgiev A. Dienes B. Kiani AI4CE 37 14 0 12 Oct 2021
Convergence of Deep Convolutional Neural Networks Yuesheng Xu Haizhang Zhang MLT 40 44 0 28 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 28 0 0 06 Sep 2021
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers Colin Wei Yining Chen Tengyu Ma 21 87 0 28 Jul 2021
A Bayesian Approach to Invariant Deep Neural Networks Nikolaos Mourdoukoutas Marco Federici G. Pantalos Mark van der Wilk Vincent Fortuin BDL UQCV 21 0 0 20 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin G. Walters 19 8 0 06 Jul 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 32 54 0 05 Jul 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 22 27 0 04 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 33 434 0 02 Jun 2021
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling Benjamin Walter FAtt 4 15 0 31 May 2021
Invariant polynomials and machine learning W. Haddadin 34 7 0 26 Apr 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli Bruno Ribeiro OOD 29 11 0 20 Apr 2021
Provably Strict Generalisation Benefit for Equivariant Models Bryn Elesedy Sheheryar Zaidi AI4CE 16 83 0 20 Feb 2021
The Gaussian Neural Process W. Bruinsma James Requeima Andrew Y. K. Foong Jonathan Gordon Richard Turner BDL 17 28 0 10 Jan 2021
Universal Approximation Theorem for Equivariant Maps by Group CNNs Wataru Kumagai Akiyoshi Sannai 61 13 0 27 Dec 2020
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups Piotr Kicki Mete Ozay Piotr Skrzypczyñski 17 1 0 11 Dec 2020
The universal approximation theorem for complex-valued neural networks F. Voigtlaender 24 62 0 06 Dec 2020
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy Juan Castorena Diane Oyen A. Ollila Carey Legget N. Lanza 9 35 0 03 Dec 2020
Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model Michael Kohler S. Langer 15 17 0 27 Nov 2020
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning H. Asatryan Hanno Gottschalk Marieke Lippert Matthias Rottmann GAN 19 10 0 24 Nov 2020
Learning Sub-Patterns in Piecewise Continuous Functions Anastasis Kratsios Behnoosh Zamanlooy 14 10 0 29 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
A Functional Perspective on Learning Symmetric Functions with Neural Networks Aaron Zweig Joan Bruna 6 21 0 16 Aug 2020