A topological model for partial equivariance in deep learning and data
analysis

A topological model for partial equivariance in deep learning and data analysis

25 August 2023

Patrizio Frosini

Nicola Quercioli

Francesca Tombari

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Papers citing "A topological model for partial equivariance in deep learning and data analysis"

13 / 13 papers shown

Title
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 81 36 0 14 Apr 2022
GENEOnet: A new machine learning paradigm based on Group Equivariant Non-Expansive Operators. An application to protein pocket detection Giovanni Bocchi Patrizio Frosini Alessandra Micheletti A. Pedretti Carmen Gratteri Filippo Lunghini A. Beccari Carmine Talarico 29 7 0 31 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 88 80 0 28 Jan 2022
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 70 58 0 02 Dec 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 69 32 0 19 Oct 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 109 71 0 28 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 355 1,153 0 27 Apr 2021
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators Pasquale Cascarano Patrizio Frosini Nicola Quercioli A. Saki 47 3 0 03 Mar 2021
On the finite representation of group equivariant operators via permutant measures Giovanni Bocchi S. Botteghi Martina Brasini Patrizio Frosini Nicola Quercioli 27 9 0 07 Aug 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 113 524 0 19 Nov 2019
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning M. Bergomi Patrizio Frosini D. Giorgi Nicola Quercioli AI4CE 58 49 0 31 Dec 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,287 0 24 Nov 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 169 1,941 0 24 Feb 2016

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