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fGOT: Graph Distances based on Filters and Optimal Transport


Sep 09, 2021
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard


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Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets


Aug 04, 2021
Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard


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OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression


Jul 19, 2021
Navid Mahmoudian Bidgoli, Roberto G. de A. Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard


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Privacy-Preserving Image Acquisition Using Trainable Optical Kernel


Jun 28, 2021
Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar

* 9 pages, 9 figures 

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Message Passing in Graph Convolution Networks via Adaptive Filter Banks


Jun 18, 2021
Xing Gao, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard


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What can linearized neural networks actually say about generalization?


Jun 12, 2021
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

* 17 pages, 15 figures 

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SafeAMC: Adversarial training for robust modulation recognition models


May 28, 2021
Javier Maroto, Gérôme Bovet, Pascal Frossard

* arXiv admin note: text overlap with arXiv:2103.14977 

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A neural anisotropic view of underspecification in deep learning


Apr 29, 2021
Guillermo Ortiz-Jimenez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

* Presented as a RobustML workshop paper at ICLR 2021 

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Predicting traffic signals on transportation networks using spatio-temporal correlations on graphs


Apr 27, 2021
Semin Kwak, Nikolas Geroliminis, Pascal Frossard


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Multilayer Graph Clustering with Optimized Node Embedding


Mar 30, 2021
Mireille El Gheche, Pascal Frossard


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On the benefits of robust models in modulation recognition


Mar 27, 2021
Javier Maroto, Gérôme Bovet, Pascal Frossard


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Bio-inspired Robustness: A Review


Mar 16, 2021
Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard, Michael. H Herzog


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Self-Supervision by Prediction for Object Discovery in Videos


Mar 09, 2021
Beril Besbinar, Pascal Frossard


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Improving filling level classification with adversarial training


Feb 08, 2021
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro


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QUACKIE: A NLP Classification Task With Ground Truth Explanations


Dec 27, 2020
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki


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Sentence-Based Model Agnostic NLP Interpretability


Dec 27, 2020
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki


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FiGLearn: Filter and Graph Learning using Optimal Transport


Oct 29, 2020
Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard


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Multilayer Clustered Graph Learning


Oct 29, 2020
Mireille El Gheche, Pascal Frossard


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Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness


Oct 19, 2020
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

* Preprint (Under review) - Accepting feedback. 23 pages, 14 figures 

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FAR: A General Framework for Attributional Robustness


Oct 14, 2020
Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard


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Modurec: Recommender Systems with Feature and Time Modulation


Oct 13, 2020
Javier Maroto, Clément Vignac, Pascal Frossard


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Graph signal processing for machine learning: A review and new perspectives


Jul 31, 2020
Xiaowen Dong, Dorina Thanou, Laura Toni, Michael Bronstein, Pascal Frossard


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node2coords: Graph Representation Learning with Wasserstein Barycenters


Jul 31, 2020
Effrosyni Simou, Dorina Thanou, Pascal Frossard


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Towards robust sensing for Autonomous Vehicles: An adversarial perspective


Jul 14, 2020
Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro

* IEEE Signal Processing Magazine, Volume 37, Issue 4, Pages 14 - 23, July 2020 

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Building powerful and equivariant graph neural networks with structural message-passing


Jul 11, 2020
Clement Vignac, Andreas Loukas, Pascal Frossard

* Submitted to Neurips 2020. 18 pages, 5 figures 

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Building powerful and equivariant graph neural networks with message-passing


Jun 26, 2020
Clement Vignac, Andreas Loukas, Pascal Frossard

* Submitted to Neurips 2020. 18 pages, 5 figures 

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Graph Pooling with Node Proximity for Hierarchical Representation Learning


Jun 19, 2020
Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard


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Neural Anisotropy Directions


Jun 17, 2020
Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

* 39 pages, 22 figures 

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