Bastien Pasdeloup

48 papers B 3Misc 2Journal 32Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2025	J	`jnl`	AutoMashup: Automatic Music Mashups Creation. CoRR Marine Delabaere, Léa Miqueu, Michael Moreno, Gautier Bigois, Hoang Duong, Ella Fernandez, Flavie Manent, Maria Salgado-Herrera, Bastien Pasdeloup, Nicolas Farrugia, Axel Marmoret
2025	B	`conf`	Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. COMPSAC Manon Renault, Hamoud Younes, Hugo Tessier, Ronan Le Roy, Bastien Pasdeloup, Mathieu Léonardon
2025	J	`jnl`	Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. CoRR Manon Renault, Hamoud Younes, Hugo Tessier, Ronan Le Roy, Bastien Pasdeloup, Mathieu Léonardon
2025	J	`jnl`	REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects. CoRR Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
2024	J	`jnl`	A metaheuristic for inferring a ranking model based on multiple reference profiles. Ann. Math. Artif. Intell. Arwa Khannoussi, Alexandru-Liviu Olteanu, Patrick Meyer, Bastien Pasdeloup
2024	—	`conf`	FICUS: Few-Shot Image Classification with Unsupervised Segmentation. EUSIPCO Jonathan Lys, Frédéric Lin, Clément Béliveau, Jules Decaestecker, Yassir Bendou, Aymane Abdali, Bastien Pasdeloup
2024	J	`jnl`	Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes. CoRR Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre
2024	J	`jnl`	LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
2024	J	`jnl`	Multimodal Object Detection via Probabilistic a priori Information Integration. CoRR Hafsa El Hafyani, Bastien Pasdeloup, Camille Yver, Pierre Romenteau
2024	J	`jnl`	Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2024	—	`conf`	Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. EUSIPCO Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2023	—	`conf`	A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2023	J	`jnl`	A Strong and Simple Deep Learning Baseline for BCI MI Decoding. CoRR Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi
2023	J	`jnl`	Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
2023	J	`jnl`	Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2023	J	`jnl`	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. Maryam Karimi Mamaghan, Mehrdad Mohammadi, Bastien Pasdeloup, Patrick Meyer
2023	Misc	`conf`	Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. ICASSP Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2022	J	`jnl`	EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. CoRR Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
2022	J	`jnl`	Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components. J. Imaging Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon
2022	—	`conf`	Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. EUSIPCO Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding. CoRR Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. CoRR Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2021	—	`conf`	A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. OLA Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer
2021	J	`jnl`	Graphs as Tools to Improve Deep Learning Methods. CoRR Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
2021	B	`conf`	Improving Classification Accuracy With Graph Filtering. ICIP Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021	J	`jnl`	Improving Classification Accuracy with Graph Filtering. CoRR Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021	B	`conf`	New Insights into the Propulsion Power Prediction of Cruise Ships. ICTAI Fred Gonsalves, Bastien Pasdeloup, Romain Billot, Patrick Meyer, Arnaud Jacques, Matthieu Lorang
2021	—	`conf`	Une approche pour regrouper des sujets atteints de cancers, sur la base des similarités des répartitions cellulaires au sein de leurs biopsies. EGC Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup
2020	J	`jnl`	An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies. CoRR Yassine El Ouahidi, Matis Feller, Matthieu Talagas, Bastien Pasdeloup
2018	J	`jnl`	Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. IEEE Trans. Signal Inf. Process. over Networks Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2017	J	`jnl`	Convolutional neural networks on irregular domains through approximate translations on inferred graphs. CoRR Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor
2017	J	`jnl`	Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2017	—	`conf`	Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
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	J	`jnl`	Translations on graphs with neighborhood preservation. CoRR Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor
2016	J	`jnl`	Characterization and inference of weighted graph topologies from observations of diffused signals. CoRR Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat
2016	J	`jnl`	Graph reconstruction from the observation of diffused signals. CoRR Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2016	J	`jnl`	Neighborhood-Preserving Translations on Graphs. CoRR Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
2016	—	`conf`	Neighborhood-preserving translations on graphs. GlobalSIP Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon
2016	Misc	`conf`	Towards a characterization of the uncertainty curve for graphs. ICASSP Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
2016	J	`jnl`	Towards a characterization of the uncertainty curve for graphs. CoRR Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor
2015	—	`conf`	Graph reconstruction from the observation of diffused signals. Allerton Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2015	J	`jnl`	Toward An Uncertainty Principle For Weighted Graphs. CoRR Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat
2015	—	`conf`	Toward an uncertainty principle for weighted graphs. EUSIPCO Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat