Bastien Pasdeloup

According to our database, Bastien Pasdeloup authored at least 32 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

Multimodal Object Detection via Probabilistic a priori Information Integration.

Hafsa El Hafyani, Bastien Pasdeloup, Camille Yver, Pierre Romenteau

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

Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes.

Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre

CoRR, 2024

Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding.

Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 32nd European Signal Processing Conference, 2024

FICUS: Few-Shot Image Classification with Unsupervised Segmentation.

Jonathan Lys, Frédéric Lin, Clément Béliveau, Jules Decaestecker, Yassir Bendou, Aymane Abdali, Bastien Pasdeloup

Proceedings of the 32nd European Signal Processing Conference, 2024

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

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

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

Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach.

Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components.

Yassir Bendou, Yuqing Hu, 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, 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 Ingredients.

Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon

CoRR, 2022

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

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Graphs as Tools to Improve Deep Learning Methods.

Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

CoRR, 2021

A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem.

Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer

Proceedings of the Optimization and Learning - 4th International Conference, 2021

New Insights into the Propulsion Power Prediction of Cruise Ships.

Fred Gonsalves, Bastien Pasdeloup, Romain Billot, Patrick Meyer, Arnaud Jacques, Matthieu Lorang

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Improving Classification Accuracy With Graph Filtering.

Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies.

Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup

CoRR, 2020

2018

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

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

PhD thesis, 2017

Convolutional neural networks on irregular domains through approximate translations on inferred graphs.

Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

Translations on graphs with neighborhood preservation.

Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction.

Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

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

Towards a characterization of the uncertainty curve for graphs.

Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Neighborhood-preserving translations on graphs.

Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Toward an uncertainty principle for weighted graphs.

Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat

Proceedings of the 23rd European Signal Processing Conference, 2015

Graph reconstruction from the observation of diffused signals.

Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015