Bastien Pasdeloup

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Venues

Ecole nationale supérieure Mines-Télécom Atlantique, France (PHD)

Education History

Ecole nationale supérieure Mines-Télécom Atlantique, France

PHD

Publications

Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes. CoRR (2024)
Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR (2024)
Hafsa El Hafyani, Bastien Pasdeloup, Camille Yver, Pierre Romenteau
Multimodal Object Detection via Probabilistic a priori Information Integration. CoRR (2024)
Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR (2024)
Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR (2023)
Maryam Karimi Mamaghan, Mehrdad Mohammadi, Bastien Pasdeloup, Patrick Meyer
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem. Eur. J. Oper. Res. 304 (3) (2023)
Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi
A Strong and Simple Deep Learning Baseline for BCI MI Decoding. CoRR (2023)
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. ICASSP (2023)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR (2023)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO (2023)
Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. EUSIPCO (2022)
Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. CoRR (2022)
Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. CoRR (2022)
Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components. J. Imaging 8 (7) (2022)
Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding. CoRR (2022)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR (2022)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy with Graph Filtering. CoRR (2021)
Fred Gonsalves, Bastien Pasdeloup, Romain Billot, Patrick Meyer, Arnaud Jacques, Matthieu Lorang
New Insights into the Propulsion Power Prediction of Cruise Ships. ICTAI (2021)
Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. OLA (2021)
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
Graphs as Tools to Improve Deep Learning Methods. CoRR (2021)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy With Graph Filtering. ICIP (2021)
Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup
Une approche pour regrouper des sujets atteints de cancers, sur la base des similarités des répartitions cellulaires au sein de leurs biopsies. EGC (2021)
Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup
An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. CoRR (2020)
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. IEEE Trans. Signal Inf. Process. over Networks 4 (3) (2018)
Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor
Convolutional neural networks on irregular domains through approximate translations on inferred graphs. CoRR (2017)
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR (2017)
Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor
Translations on graphs with neighborhood preservation. CoRR (2017)
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP (2017)
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
Towards a characterization of the uncertainty curve for graphs. ICASSP (2016)
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
Towards a characterization of the uncertainty curve for graphs. CoRR (2016)
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
Characterization and inference of weighted graph topologies from observations of diffused signals. CoRR (2016)
Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
Graph reconstruction from the observation of diffused signals. CoRR (2016)
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
Neighborhood-preserving translations on graphs. GlobalSIP (2016)
Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
Neighborhood-Preserving Translations on Graphs. CoRR (2016)
Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
Graph reconstruction from the observation of diffused signals. Allerton (2015)
Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
Toward an uncertainty principle for weighted graphs. EUSIPCO (2015)
Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
Toward An Uncertainty Principle For Weighted Graphs. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bastien Pasdeloup