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Bastien Pasdeloup
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2020 – today
- 2024
- [c14]Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. EUSIPCO 2024: 1626-1630 - [c13]Jonathan Lys, Frédéric Lin, Clément Béliveau, Jules Decaestecker, Yassir Bendou, Aymane Abdali, Bastien Pasdeloup:
FICUS: Few-Shot Image Classification with Unsupervised Segmentation. EUSIPCO 2024: 1791-1795 - [i22]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 abs/2401.15834 (2024) - [i21]Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR abs/2403.15438 (2024) - [i20]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 abs/2404.00675 (2024) - [i19]Hafsa El Hafyani, Bastien Pasdeloup, Camille Yver, Pierre Romenteau:
Multimodal Object Detection via Probabilistic a priori Information Integration. CoRR abs/2405.15596 (2024) - 2023
- [j3]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): 1296-1330 (2023) - [c12]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: 1260-1264 - [c11]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: 1-5 - [i18]Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup:
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR abs/2301.06372 (2023) - [i17]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 abs/2309.07159 (2023) - [i16]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 abs/2311.14544 (2023) - 2022
- [j2]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): 179 (2022) - [c10]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: 937-941 - [i15]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 abs/2201.09699 (2022) - [i14]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 abs/2203.04455 (2022) - [i13]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 abs/2211.02624 (2022) - [i12]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 abs/2212.06461 (2022) - 2021
- [c9]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: 333-340 - [c8]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy With Graph Filtering. ICIP 2021: 334-338 - [c7]Fred Gonsalves, Bastien Pasdeloup, Romain Billot, Patrick Meyer, Arnaud Jacques, Matthieu Lorang:
New Insights into the Propulsion Power Prediction of Cruise Ships. ICTAI 2021: 846-850 - [c6]Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer:
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. OLA 2021: 45-61 - [i11]Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy with Graph Filtering. CoRR abs/2101.04789 (2021) - [i10]Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon:
Graphs as Tools to Improve Deep Learning Methods. CoRR abs/2110.03999 (2021) - 2020
- [i9]Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup:
An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. CoRR abs/2007.00135 (2020)
2010 – 2019
- 2018
- [j1]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): 481-496 (2018) - 2017
- [b1]Bastien Pasdeloup:
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). Ecole nationale supérieure Mines-Télécom Atlantique, France, 2017 - [c5]Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP 2017: 618-622 - [i8]Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR abs/1703.01842 (2017) - [i7]Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor:
Translations on graphs with neighborhood preservation. CoRR abs/1709.03859 (2017) - [i6]Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor:
Convolutional neural networks on irregular domains through approximate translations on inferred graphs. CoRR abs/1710.10035 (2017) - 2016
- [c4]Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon:
Neighborhood-preserving translations on graphs. GlobalSIP 2016: 410-414 - [c3]Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor:
Towards a characterization of the uncertainty curve for graphs. ICASSP 2016: 4558-4562 - [i5]Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor:
Towards a characterization of the uncertainty curve for graphs. CoRR abs/1605.00451 (2016) - [i4]Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat:
Characterization and inference of weighted graph topologies from observations of diffused signals. CoRR abs/1605.02569 (2016) - [i3]Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier:
Graph reconstruction from the observation of diffused signals. CoRR abs/1605.05251 (2016) - [i2]Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon:
Neighborhood-Preserving Translations on Graphs. CoRR abs/1606.02479 (2016) - 2015
- [c2]Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier:
Graph reconstruction from the observation of diffused signals. Allerton 2015: 1386-1390 - [c1]Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat:
Toward an uncertainty principle for weighted graphs. EUSIPCO 2015: 1496-1500 - [i1]Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat:
Toward An Uncertainty Principle For Weighted Graphs. CoRR abs/1503.03291 (2015)
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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