Graph reconstruction from the observation of diffused signals. - Bastien Pasdeloup; Michael G. Rabbat; Vincent Gripon; Dominique Pastor; Grégoire Mercier (Allerton, 2015)

Toward an uncertainty principle for weighted graphs. - Bastien Pasdeloup; Réda Alami; Vincent Gripon; Michael G. Rabbat (EUSIPCO, 2015)

Neighborhood-preserving translations on graphs. - Nicolas Grelier; Bastien Pasdeloup; Jean-Charles Vialatte; Vincent Gripon (GlobalSIP, 2016)

Towards a characterization of the uncertainty curve for graphs. - Bastien Pasdeloup; Vincent Gripon; Grégoire Mercier; Dominique Pastor (ICASSP, 2016)

Characterization and inference of weighted graph topologies from observations of diffused signals. - Bastien Pasdeloup; Vincent Gripon; Grégoire Mercier; Dominique Pastor; Michael G. Rabbat (CoRR, 2016)

Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. - Mathilde Ménoret; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (GlobalSIP, 2017)

Translations on graphs with neighborhood preservation. - Bastien Pasdeloup; Vincent Gripon; Nicolas Grelier; Jean-Charles Vialatte; Dominique Pastor (CoRR, 2017)

Convolutional neural networks on irregular domains through approximate translations on inferred graphs. - Bastien Pasdeloup; Vincent Gripon; Jean-Charles Vialatte; Dominique Pastor (CoRR, 2017)

Extending convolutional neural networks to irregular domains through graph inference. (Extension des réseaux de neurones convolutifs à des domaines irréguliers par l'inférence de graphe). - Bastien Pasdeloup (2017)

Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. - Bastien Pasdeloup; Vincent Gripon; Grégoire Mercier; Dominique Pastor; Michael G. Rabbat (IEEE Trans. Signal Inf. Process. over Networks, 2018)

An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. - Yassine El Ouahidi; Matis Feller; Matthieu Talagas; Bastien Pasdeloup (CoRR, 2020)

Une approche pour regrouper des sujets atteints de cancers, sur la base des similarités des répartitions cellulaires au sein de leurs biopsies. - Yassine El Ouahidi; Matis Feller; Matthieu Talagas; Bastien Pasdeloup (EGC, 2021)

Improving Classification Accuracy With Graph Filtering. - Mounia Hamidouche; Carlos Lassance; Yuqing Hu 001; Lucas Drumetz; Bastien Pasdeloup; Vincent Gripon (ICIP, 2021)

New Insights into the Propulsion Power Prediction of Cruise Ships. - Fred Gonsalves; Bastien Pasdeloup; Romain Billot; Patrick Meyer; Arnaud Jacques; Matthieu Lorang (ICTAI, 2021)

A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. - Maryam Karimi Mamaghan; Bastien Pasdeloup; Mehrdad Mohammadi; Patrick Meyer (OLA, 2021)

Graphs as Tools to Improve Deep Learning Methods. - Carlos Lassance; Myriam Bontonou; Mounia Hamidouche; Bastien Pasdeloup; Lucas Drumetz; Vincent Gripon (CoRR, 2021)

Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. - Yassine El Ouahidi; Hugo Tessier; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (EUSIPCO, 2022)

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. - Yassir Bendou; Yuqing Hu 001; Raphaël Lafargue; Giulia Lioi; Bastien Pasdeloup; Stéphane Pateux; Vincent Gripon (CoRR, 2022)

A Statistical Model for Predicting Generalization in Few-Shot Classification. - Yassir Bendou; Vincent Gripon; Bastien Pasdeloup; Lukas Mauch; Stefan Uhlich; Fabien Cardinaux; Ghouthi Boukli Hacene; Javier Alonso García (CoRR, 2022)

Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components. - Yassir Bendou; Yuqing Hu 001; Raphaël Lafargue; Giulia Lioi; Bastien Pasdeloup; Stéphane Pateux; Vincent Gripon (J. Imaging, 2022)

A Statistical Model for Predicting Generalization in Few-Shot Classification. - Yassir Bendou; Vincent Gripon; Bastien Pasdeloup; Giulia Lioi; Lukas Mauch; Stefan Uhlich; Fabien Cardinaux; Ghouthi Boukli Hacene; Javier Alonso García (EUSIPCO, 2023)

Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. - Yassine El Ouahidi; Lucas Drumetz; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (ICASSP, 2023)

Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. - Yassir Bendou; Lucas Drumetz; Vincent Gripon; Giulia Lioi; Bastien Pasdeloup (CoRR, 2023)

A Strong and Simple Deep Learning Baseline for BCI MI Decoding. - Yassine El Ouahidi; Vincent Gripon; Bastien Pasdeloup; Ghaith Bouallegue; Nicolas Farrugia; Giulia Lioi (CoRR, 2023)

Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. - Yassir Bendou; Vincent Gripon; Bastien Pasdeloup; Giulia Lioi; Lukas Mauch; Fabien Cardinaux; Ghouthi Boukli Hacene (CoRR, 2023)

Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem. - Maryam Karimi Mamaghan; Mehrdad Mohammadi; Bastien Pasdeloup; Patrick Meyer (Eur. J. Oper. Res., 2023)

FICUS: Few-Shot Image Classification with Unsupervised Segmentation. - Jonathan Lys; Frédéric Lin; Clément Béliveau; Jules Decaestecker; Yassir Bendou; Aymane Abdali; Bastien Pasdeloup (EUSIPCO, 2024)

Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. - Yassine El Ouahidi; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (EUSIPCO, 2024)

Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes. - Raphaël Lafargue; Yassir Bendou; Bastien Pasdeloup; Jean-Philippe Diguet; Ian D. Reid 001; Vincent Gripon; Jack Valmadre (CoRR, 2024)

LLM meets Vision-Language Models for Zero-Shot One-Class Classification. - Yassir Bendou; Giulia Lioi; Bastien Pasdeloup; Lukas Mauch; Ghouthi Boukli Hacene; Fabien Cardinaux; Vincent Gripon (CoRR, 2024)

Multimodal Object Detection via Probabilistic a priori Information Integration. - Hafsa El Hafyani; Bastien Pasdeloup; Camille Yver; Pierre Romenteau (CoRR, 2024)

A metaheuristic for inferring a ranking model based on multiple reference profiles. - Arwa Khannoussi; Alexandru-Liviu Olteanu; Patrick Meyer; Bastien Pasdeloup (Ann. Math. Artif. Intell., 2024)

Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. - Manon Renault; Hamoud Younes; Hugo Tessier; Ronan Le Roy; Bastien Pasdeloup; Mathieu Léonardon (CoRR, 2025)