Vincent Gripon

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 131

Top Venues

Telecom Bretagne, Brest, France (PHD)

Education History

Telecom Bretagne, Brest, 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)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
Local Mixup: Interpolation of closest input signals to prevent manifold intrusion. Signal Process. 219 (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)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS (2024)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
On Transfer in Classification: How Well do Subsets of Classes Generalize? 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)
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR (2024)
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
Active Learning for Efficient Few-Shot Classification. ICASSP (2023)
Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach. CoRR (2023)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. ICASSP (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)
Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning. CoRR (2023)
Yuqing Hu, Stéphane Pateux, Vincent Gripon
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. AISTATS (2023)
Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon
Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. SYSINT (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. EUSIPCO (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Leveraging Structured Pruning of Convolutional Neural Networks. SiPS (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU. SYSINT (2022)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
A Local Mixup to Prevent Manifold Intrusion. 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)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Preventing Manifold Intrusion with Locality: Local Mixup. CoRR (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU. 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)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging 8 (3) (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Leveraging Structured Pruning of Convolutional Neural Networks. CoRR (2022)
Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings. CoRR (2022)
Yuqing Hu, Stéphane Pateux, Vincent Gripon
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. CoRR (2022)
Raphaël Baena, Lucas Drumetz, Vincent Gripon
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. CoRR (2022)
Yuqing Hu, Stéphane Pateux, Vincent Gripon
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning. Algorithms 15 (5) (2022)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy with Graph Filtering. CoRR (2021)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors 21 (9) (2021)
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
Towards an Intrinsic Definition of Robustness for a Classifier. ICASSP (2021)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. EUSIPCO (2021)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning. CoRR (2021)
Mathieu Léonardon, Vincent Gripon
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. ISTC (2021)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC (2021)
Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid
Improved Visual Localization via Graph Filtering. J. Imaging 7 (2) (2021)
Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
Graphs as Tools to Improve Deep Learning Methods. CoRR (2021)
Myriam Bontonou, Louis Béthune, Vincent Gripon
Predicting the Generalization Ability of a Few-Shot Classifier. Inf. 12 (1) (2021)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR (2021)
Mathieu Léonardon, Vincent Gripon
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. CoRR (2021)
Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
Improving Classification Accuracy With Graph Filtering. ICIP (2021)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR (2021)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning. ICANN (2) (2021)
Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
Few-Shot Decoding of Brain Activation Maps. EUSIPCO (2021)
Carlos Lassance, Vincent Gripon, Antonio Ortega
Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms 14 (2) (2021)
Raphael Baena, Lucas Drumetz, Vincent Gripon
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. CoRR (2021)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. CoRR (2020)
Lyes Khacef, Vincent Gripon, Benoît Miramond
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. ICONIP (2) (2020)
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph Topology Inference Benchmarks for Machine Learning. MLSP (2020)
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph topology inference benchmarks for machine learning. CoRR (2020)
Lyes Khacef, Vincent Gripon, Benoît Miramond
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. CoRR (2020)
Myriam Bontonou, Louis Béthune, Vincent Gripon
Predicting the Accuracy of a Few-Shot Classifier. CoRR (2020)
Carlos Lassance, Vincent Gripon, Antonio Ortega
Representing Deep Neural Networks Latent Space Geometries with Graphs. CoRR (2020)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
Exploiting Unsupervised Inputs for Accurate Few-Shot Classification. CoRR (2020)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Few-shot Learning for Decoding Brain Signals. CoRR (2020)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. CoRR (2020)
Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR (2020)
Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
Towards an Intrinsic Definition of Robustness for a Classifier. CoRR (2020)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning. CoRR (2020)
Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR (2020)
Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
Attention Based Pruning for Shift Networks. ICPR (2020)
Vincent Gripon, Matthias Löwe, Franck Vermet
Some Remarks on Replicated Simulated Annealing. CoRR (2020)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS (2020)
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep Geometric Knowledge Distillation with Graphs. ICASSP (2020)
Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget. CoRR (2020)
Yuqing Hu, Vincent Gripon, Stéphane Pateux
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification. ICPR (2020)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW (2019)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR (2019)
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep geometric knowledge distillation with graphs. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
A Unified Deep Learning Formalism For Processing Graph Signals. CoRR (2019)
Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
Attention Based Pruning for Shift Networks. CoRR (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR (2019)
Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid
Improved Visual Localization via Graph Smoothing. CoRR (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. 91 (9) (2019)
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
Structural Robustness for Deep Learning Architectures. CoRR (2019)
Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS (2019)
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
Structural Robustness for Deep Learning Architectures. DSW (2019)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS (2019)
Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
Transfer Learning with Sparse Associative Memories. ICANN (1) (2019)
Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
Transfer Learning with Sparse Associative Memories. CoRR (2019)
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)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR (2018)
Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon
Graph-Projected Signal Processing. GlobalSIP (2018)
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
Matching Convolutional Neural Networks without Priors about Data. DSW (2018)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Transfer Incremental Learning using Data Augmentation. CoRR (2018)
Vincent Gripon, Antonio Ortega, Benjamin Girault
An Inside Look at Deep Neural Networks Using Graph Signal Processing. ITA (2018)
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega
Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. CoRR (2018)
Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
Memory Vectors for Similarity Search in High-Dimensional Spaces. IEEE Trans. Big Data 4 (1) (2018)
Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
Matching Convolutional Neural Networks without Priors about Data. CoRR (2018)
Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, Fabrice Wendling
SimiNet: A Novel Method for Quantifying Brain Network Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 40 (9) (2018)
Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. ICASSP (2018)
Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor
Convolutional neural networks on irregular domains through approximate translations on inferred graphs. CoRR (2017)

Vincent Gripon.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Vincent Gripon