Vincent Gripon

201 papers A* 2A 1B 8C 5Misc 14Journal 119Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. CoRR R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
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`	Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. CoRR R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2026	J	`jnl`	Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT. CoRR Shuhei Tsuyuki, Reda Bensaid, Jérémy Morlier, Mathieu Léonardon, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu
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`	MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers. CoRR Jérémy Morlier, Robin Geens, Stef Cuyckens, Arne Symons, Marian Verhelst, Vincent Gripon, Mathieu Léonardon
2026	J	`jnl`	MUKA: Multi Kernel Audio Adaptation Of Audio-Language Models. CoRR Reda Bensaid, Amine Ouasfi, Yassir Bendou, Ilyass Moummad, Vincent Gripon, François Leduc-Primeau, Adnane Boukhayma
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`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. Trans. Mach. Learn. Res. Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2025	J	`jnl`	Anomalous Samples for Few-Shot Anomaly Detection. CoRR Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025	C	`conf`	Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. ISCAS R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2025	B	`conf`	Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. IJCNN Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025	J	`jnl`	Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. CoRR Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025	J	`jnl`	Object-Centric Cropping for Visual Few-Shot Classification. CoRR Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon
2025	A*	`conf`	ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models. CVPR Yassir Bendou, Amine Ouasfi, Vincent Gripon, Adnane Boukhayma
2025	J	`jnl`	ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models. CoRR Yassir Bendou, Amine Ouasfi, Vincent Gripon, Adnane Boukhayma
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
2025	—	`conf`	Signal-Informed Semi-Supervised 3D Segmentation for Subsurface Analysis. EUSIPCO Alexandre Thouvenot, Lionel Boillot, Vincent Gripon
2025	J	`jnl`	TensLoRA: Tensor Alternatives for Low-Rank Adaptation. CoRR Axel Marmoret, Reda Bensaid, Jonathan Lys, Vincent Gripon, François Leduc-Primeau
2024	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2024	C	`conf`	BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2024	—	`conf`	Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. MWSCAS R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
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`	Local Mixup: Interpolation of closest input signals to prevent manifold intrusion. Signal Process. Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024	—	`conf`	On Transfer in Classification: How Well do Subsets of Classes Generalize? EUSIPCO Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024	J	`jnl`	On Transfer in Classification: How Well do Subsets of Classes Generalize? CoRR Raphaël Baena, Lucas Drumetz, Vincent Gripon
2024	J	`jnl`	Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. CoRR Raphaël Lafargue, Luke Smith, Franck Vermet, Mathias Löwe, Ian D. Reid, Vincent Gripon, Jack Valmadre
2024	J	`jnl`	Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. Trans. Mach. Learn. Res. Raphaël Lafargue, Luke Smith, Franck Vermet, Matthias Löwe, Ian Reid, Jack Valmadre, Vincent Gripon
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	Misc	`conf`	Active Learning for Efficient Few-Shot Classification. ICASSP Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2023	A	`conf`	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. AISTATS Yuqing Hu, Stéphane Pateux, Vincent Gripon
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	Misc	`conf`	Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. ICASSP Raphaël Baena, Lucas Drumetz, Vincent Gripon
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	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
2023	J	`jnl`	ThinResNet: A New Baseline for Structured Convolutional Networks Pruning. CoRR Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon
2022	—	`conf`	A Local Mixup to Prevent Manifold Intrusion. EUSIPCO Raphaël Baena, Lucas Drumetz, 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`	Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings. CoRR Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski
2022	J	`jnl`	Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. CoRR Yuqing Hu, Stéphane Pateux, Vincent Gripon
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`	Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU. SYSINT Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	—	`conf`	Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. SYSINT Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon
2022	—	`conf`	Leveraging Structured Pruning of Convolutional Neural Networks. SiPS Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	Leveraging Structured Pruning of Convolutional Neural Networks. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. CoRR Raphaël Baena, Lucas Drumetz, Vincent Gripon
2022	J	`jnl`	Preventing Manifold Intrusion with Locality: Local Mixup. CoRR Raphaël Baena, Lucas Drumetz, 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`	Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
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
2022	J	`jnl`	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning. Algorithms Yuqing Hu, Stéphane Pateux, Vincent Gripon
2021	—	`conf`	Few-Shot Decoding of Brain Activation Maps. EUSIPCO Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
2021	J	`jnl`	Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
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	J	`jnl`	Improved Visual Localization via Graph Filtering. J. Imaging Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid
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	—	`conf`	Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. EUSIPCO Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021	J	`jnl`	Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. CoRR Raphaël Baena, Lucas Drumetz, Vincent Gripon
2021	—	`conf`	Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning. ICANN (2) Yuqing Hu, Vincent Gripon, Stéphane Pateux
2021	J	`jnl`	Predicting the Generalization Ability of a Few-Shot Classifier. Inf. Myriam Bontonou, Louis Béthune, Vincent Gripon
2021	J	`jnl`	Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2021	J	`jnl`	Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2021	J	`jnl`	Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms Carlos Lassance, Vincent Gripon, Antonio Ortega
2021	—	`conf`	Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2021	J	`jnl`	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning. CoRR Yuqing Hu, Vincent Gripon, Stéphane Pateux
2021	Misc	`conf`	Towards an Intrinsic Definition of Robustness for a Classifier. ICASSP Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2021	—	`conf`	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. ISTC Mathieu Léonardon, Vincent Gripon
2021	J	`jnl`	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. CoRR Mathieu Léonardon, Vincent Gripon
2020	B	`conf`	Attention Based Pruning for Shift Networks. ICPR Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2020	J	`jnl`	BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. CoRR Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2020	J	`jnl`	Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2020	J	`jnl`	DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
2020	Misc	`conf`	Deep Geometric Knowledge Distillation with Graphs. ICASSP Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020	—	`book`	Efficient Representations for Graph and Neural Network Signals. (Représentations efficaces pour les signaux sur graphes et réseaux de neurones). Vincent Gripon
2020	J	`jnl`	Exploiting Unsupervised Inputs for Accurate Few-Shot Classification. CoRR Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020	J	`jnl`	Few-shot Learning for Decoding Brain Signals. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020	—	`conf`	GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. ICONIP (2) Lyes Khacef, Vincent Gripon, Benoît Miramond
2020	J	`jnl`	GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. CoRR Lyes Khacef, Vincent Gripon, Benoît Miramond
2020	—	`conf`	Graph Topology Inference Benchmarks for Machine Learning. MLSP Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	J	`jnl`	Graph topology inference benchmarks for machine learning. CoRR Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	B	`conf`	Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification. ICPR Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020	J	`jnl`	Leveraging the Feature Distribution in Transfer-based Few-Shot Learning. CoRR Yuqing Hu, Vincent Gripon, Stéphane Pateux
2020	J	`jnl`	Predicting the Accuracy of a Few-Shot Classifier. CoRR Myriam Bontonou, Louis Béthune, Vincent Gripon
2020	—	`conf`	Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2020	J	`jnl`	Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
2020	J	`jnl`	Representing Deep Neural Networks Latent Space Geometries with Graphs. CoRR Carlos Lassance, Vincent Gripon, Antonio Ortega
2020	J	`jnl`	Some Remarks on Replicated Simulated Annealing. CoRR Vincent Gripon, Matthias Löwe, Franck Vermet
2020	J	`jnl`	ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget. CoRR Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon
2020	J	`jnl`	Towards an Intrinsic Definition of Robustness for a Classifier. CoRR Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet
2019	J	`jnl`	A Unified Deep Learning Formalism For Processing Graph Signals. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2019	J	`jnl`	Attention Based Pruning for Shift Networks. CoRR Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2019	J	`jnl`	Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	J	`jnl`	Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia
2019	J	`jnl`	Deep geometric knowledge distillation with graphs. CoRR Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	—	`conf`	Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	J	`jnl`	Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	J	`jnl`	Improved Visual Localization via Graph Smoothing. CoRR Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid
2019	—	`conf`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	—	`conf`	Structural Robustness for Deep Learning Architectures. DSW Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Structural Robustness for Deep Learning Architectures. CoRR Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019	C	`conf`	Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019	J	`jnl`	Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019	—	`conf`	Transfer Learning with Sparse Associative Memories. ICANN (1) Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
2019	J	`jnl`	Transfer Learning with Sparse Associative Memories. CoRR Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
2018	Misc	`conf`	An Inside Look at Deep Neural Networks Using Graph Signal Processing. ITA Vincent Gripon, Antonio Ortega, Benjamin Girault
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
2018	—	`conf`	Graph-Projected Signal Processing. GlobalSIP Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon
2018	Misc	`conf`	Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation. ICASSP Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2018	J	`jnl`	Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. CoRR Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega
2018	—	`conf`	Matching Convolutional Neural Networks without Priors about Data. DSW Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018	J	`jnl`	Matching Convolutional Neural Networks without Priors about Data. CoRR Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon
2018	J	`jnl`	Memory Vectors for Similarity Search in High-Dimensional Spaces. IEEE Trans. Big Data Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2018	J	`jnl`	Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2018	J	`jnl`	SimiNet: A Novel Method for Quantifying Brain Network Similarity. IEEE Trans. Pattern Anal. Mach. Intell. Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, Fabrice Wendling
2018	J	`jnl`	Transfer Incremental Learning using Data Augmentation. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	—	`conf`	Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
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	J	`jnl`	Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation. CoRR Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet
2017	—	`conf`	Incremental learning on chip. GlobalSIP Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	J	`jnl`	Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs. CoRR Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017	—	`conf`	Learning local receptive fields and their weight sharing scheme on graphs. GlobalSIP Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin
2017	—	`conf`	NoC-MRAM architecture for memory-based computing: Database-search case study. NEWCAS Mostafa Rizk, Jean-Philippe Diguet, Naoya Onizawa, Amer Baghdadi, Martha Johanna Sepúlveda, Y. Akgul, Vincent Gripon, Takahiro Hanyu
2017	J	`jnl`	Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise. CoRR Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou
2017	J	`jnl`	Translations on graphs with neighborhood preservation. CoRR Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor
2017	Misc	`conf`	Tropical graph signal processing. ACSSC Vincent Gripon
2016	J	`jnl`	A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention. Cogn. Comput. Ala Aboudib, Vincent Gripon, Gilles Coppin
2016	—	`conf`	A Neural Network Model for Solving the Feature Correspondence Problem. ICANN (2) Ala Aboudib, Vincent Gripon, Gilles Coppin
2016	—	`conf`	A turbo-inspired iterative approach for correspondence problems of image features. ISTC Ala Aboudib, Vincent Gripon, Gilles Coppin
2016	—	`conf`	Assembly output codes for learning neural networks. ISTC Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou
2016	J	`jnl`	Associative Memories to Accelerate Approximate Nearest Neighbor Search. CoRR Vincent Gripon, Matthias Löwe, Franck Vermet
2016	—	`conf`	Associative Memory based on clustered Neural Networks: Improved model and architecture for Oriented Edge Detection. DASIP Robin Danilo, Hugues Nono Wouafo, Cyrille Chavet, Vincent Gripon, Laura Conde-Canencia, Philippe Coussy
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	—	`conf`	Compression of Deep Neural Networks on the Fly. ICANN (2) Guillaume Soulié, Vincent Gripon, Maëlys Robert
2016	—	`conf`	Distributed coding and synaptic pruning. ISTC Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou
2016	J	`jnl`	Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Trans. Signal Process. François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2016	J	`jnl`	Generalizing the Convolution Operator to Extend CNNs to Irregular Domains. CoRR Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier
2016	J	`jnl`	Graph reconstruction from the observation of diffused signals. CoRR Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2016	—	`conf`	Massively parallel implementation of sparse message retrieval algorithms in Clustered Clique Networks. HPCS Philippe Tigreat, Pierre-Henri Horrein, Vincent Gripon
2016	B	`conf`	Nearest Neighbour Search using binary neural networks. IJCNN Demetrio Ferro, Vincent Gripon, Xiaoran Jiang
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	J	`jnl`	Storing Sequences in Binary Tournament-Based Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
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
2016	J	`jnl`	Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits. IEEE Trans. Neural Networks Learn. Syst. Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2015	Misc	`conf`	A model of bottom-up visual attention using cortical magnification. ICASSP Ala Aboudib, Vincent Gripon, Gilles Coppin
2015	—	`conf`	A novel algorithm for measuring graph similarity: Application to brain networks. NER Ahmad Mheich, Mahmoud Hassan, Vincent Gripon, Mohamad Khalil, Claude Berrou, Olivier Dufor, Fabrice Wendling
2015	J	`jnl`	Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse Clustered Networks. IEEE Trans. Very Large Scale Integr. Syst. Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2015	C	`conf`	Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks. ISCAS Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy, Laura Conde-Canencia, Warren J. Gross
2015	J	`jnl`	Compression of Deep Neural Networks on the Fly. CoRR Guillaume Soulié, Vincent Gripon, Maëlys Robert
2015	—	`conf`	Graph reconstruction from the observation of diffused signals. Allerton Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier
2015	—	`conf`	Restricted Clustered Neural Network for Storing Real Data. ACM Great Lakes Symposium on VLSI Robin Danilo, Philippe Coussy, Laura Conde-Canencia, Vincent Gripon, Warren J. Gross
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
2014	—	`conf`	A GPU-based associative memory using sparse Neural Networks. HPCS Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014	J	`jnl`	A Nonvolatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS/MTJ-Hybrid Logic-in-Memory Architecture. IEEE J. Emerg. Sel. Topics Circuits Syst. Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Noboru Sakimura, Tadahiko Sugibayashi, Tetsuo Endoh, Hideo Ohno, Takahiro Hanyu, Warren J. Gross
2014	J	`jnl`	Algorithm and Architecture of Fully-Parallel Associative Memories Based on Sparse Clustered Networks. J. Signal Process. Syst. Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2014	—	`conf`	Algorithm and architecture for a multiple-field context-driven search engine using fully-parallel clustered associative memories. SiPS Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu, Warren J. Gross
2014	Misc	`conf`	Cluster-based associative memories built from unreliable storage. ICASSP François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2014	J	`jnl`	Combating Corrupt Messages in Sparse Clustered Associative Memories. CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2014	A*	`conf`	Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques. AAAI Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2014	—	`conf`	Information, noise, coding, modulation: What about the brain? ISTC Claude Berrou, Olivier Dufor, Vincent Gripon, Xiaoran Jiang
2014	J	`jnl`	Memory vectors for similarity search in high-dimensional spaces. CoRR Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou
2014	—	`conf`	Sparse binary matrices as efficient associative memories. Allerton Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2014	J	`jnl`	Storing sequences in binary tournament-based neural networks. CoRR Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat
2014	Misc	`conf`	Towards a spectral characterization of signals supported on small-world networks. ICASSP Michael G. Rabbat, Vincent Gripon
2013	J	`jnl`	A Low-Power Content-Addressable-Memory Based on Clustered-Sparse-Networks CoRR Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2013	J	`jnl`	A Massively Parallel Associative Memory Based on Sparse Neural Networks CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013	—	`conf`	A low-power Content-Addressable Memory based on clustered-sparse networks. ASAP Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross
2013	J	`jnl`	A study of retrieval algorithms of sparse messages in networks of neural cliques. CoRR Ala Aboudib, Vincent Gripon, Xiaoran Jiang
2013	J	`jnl`	Bounds on associative memories CoRR Vincent Gripon, Michael G. Rabbat
2013	J	`jnl`	Improving Sparse Associative Memories by Escaping from Bogus Fixed Points. CoRR Zhe Yao, Vincent Gripon, Michael G. Rabbat
2013	B	`conf`	Maximum likelihood associative memories. ITW Vincent Gripon, Michael G. Rabbat
2013	J	`jnl`	Reconstructing a Graph from Path Traces CoRR Vincent Gripon, Michael G. Rabbat
2013	B	`conf`	Reconstructing a graph from path traces. ISIT Vincent Gripon, Michael G. Rabbat
2013	Misc	`conf`	Reduced-complexity binary-weight-coded associative memories. ICASSP Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2013	—	`conf`	Sparse structured associative memories as efficient set-membership data structures. Allerton Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2013	J	`jnl`	Storing non-uniformly distributed messages in networks of neural cliques. CoRR Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann
2012	C	`conf`	Architecture and implementation of an associative memory using sparse clustered networks. ISCAS Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross
2012	B	`conf`	Compressing multisets using tries. ITW Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross
2012	J	`jnl`	Forwarding Without Repeating: Efficient Rumor Spreading in Bounded-Degree Graphs CoRR Vincent Gripon, Vitaly Skachek, Michael G. Rabbat
2012	J	`jnl`	Learning sparse messages in networks of neural cliques CoRR Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran Jiang
2012	Misc	`conf`	Nearly-optimal associative memories based on distributed constant weight codes. ITA Vincent Gripon, Claude Berrou
2012	—	`conf`	Random clique codes. ISTC Vincent Gripon, Vitaly Skachek, Warren J. Gross, Michael G. Rabbat
2011	—	`conf`	A simple and efficient way to store many messages using neural cliques. CCMB Vincent Gripon, Claude Berrou
2011	—	`—`	Networks of Neural Cliques. (Réseaux de cliques neurales). Vincent Gripon
2011	J	`jnl`	Sparse Neural Networks With Large Learning Diversity. IEEE Trans. Neural Networks Vincent Gripon, Claude Berrou
2011	J	`jnl`	Sparse neural networks with large learning diversity CoRR Vincent Gripon, Claude Berrou
2009	J	`jnl`	Qualitative Concurrent Games with Imperfect Information CoRR Vincent Gripon, Olivier Serre
2009	—	`conf`	Qualitative Concurrent Stochastic Games with Imperfect Information. ICALP (2) Vincent Gripon, Olivier Serre