Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning

31 December 2018

Papers citing "Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning"

22 / 22 papers shown

Title
A novel approach to graph distinction through GENEOs and permutants Giovanni Bocchi Massimo Ferri Patrizio Frosini 33 2 0 12 Jun 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams Rolando Kindelan Nunez Mircea Petrache Mauricio Cerda N. Hitschfeld-Kahler 27 1 0 22 Feb 2024
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach Diogo Mateus Lavado Cláudia Soares Alessandra Micheletti 24 1 0 25 Oct 2023
A Topological Machine Learning Pipeline for Classification Francesco Conti Davide Moroni M. A. Pascali 17 11 0 26 Sep 2023
A topological model for partial equivariance in deep learning and data analysis L. Ferrari Patrizio Frosini Nicola Quercioli Francesca Tombari 24 2 0 25 Aug 2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification Diogo Mateus Lavado Cláudia Soares Alessandra Micheletti Giovanni Bocchi Alex Coronati Manuel F. Silva Patrizio Frosini 3DPC 30 2 0 13 Jun 2023
Persistence-based operators in machine learning M. Bergomi M. Ferri A. Mella Pietro Vertechi 13 0 0 28 Dec 2022
Topological structure of complex predictions Meng Liu T. Dey D. Gleich 38 3 0 28 Jul 2022
Betti numbers of attention graphs is all you really need Laida Kushnareva D. Piontkovski Irina Piontkovskaya GNN 19 2 0 05 Jul 2022
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 40 4 0 29 Jun 2022
Machines of finite depth: towards a formalization of neural networks Pietro Vertechi M. Bergomi PINN 24 2 0 27 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 11 7 0 31 Jan 2022
Leveraging The Topological Consistencies of Learning in Deep Neural Networks Stuart Synakowski Fabian Benitez-Quiroz Aleix M. Martinez 6 0 0 30 Nov 2021
Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space Chen Li S. Sun Zhuangkun Wei Antonios Tsourdos Weisi Guo 30 5 0 18 Aug 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 53 9 0 26 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 22 3 0 03 Mar 2021
Towards glass-box CNNs Manaswini Piduguralla Jignesh S. Bhatt 27 3 0 11 Jan 2021
On the finite representation of group equivariant operators via permutant measures Giovanni Bocchi S. Botteghi Martina Brasini Patrizio Frosini Nicola Quercioli 10 9 0 07 Aug 2020
Parametric machines: a fresh approach to architecture search Pietro Vertechi M. Bergomi 27 2 0 06 Jul 2020
Computing the Testing Error without a Testing Set C. Corneanu Meysam Madadi Sergio Escalera Aleix M. Martinez AAML 6 69 0 01 May 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 273 13,368 0 25 Aug 2014