Vincent Gripon

According to our database, Vincent Gripon authored at least 137 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding.

Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

CoRR, 2024

On Transfer in Classification: How Well do Subsets of Classes Generalize?

Raphaël Baena, Lucas Drumetz, Vincent Gripon

CoRR, 2024

Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes.

Raphaël Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian D. Reid, Vincent Gripon, Jack Valmadre

CoRR, 2024

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models.

Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux

CoRR, 2024

2023

Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene

CoRR, 2023

ThinResNet: A New Baseline for Structured Convolutional Networks Pruning.

Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon

CoRR, 2023

A Strong and Simple Deep Learning Baseline for BCI MI Decoding.

Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi

CoRR, 2023

Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach.

Yassir Bendou, Lucas Drumetz, Vincent Gripon, Giulia Lioi, Bastien Pasdeloup

CoRR, 2023

Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities.

Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Proceedings of the IEEE International Conference on Acoustics, 2023

Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models.

Raphaël Baena, Lucas Drumetz, Vincent Gripon

Proceedings of the IEEE International Conference on Acoustics, 2023

Active Learning for Efficient Few-Shot Classification.

Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski

Proceedings of the IEEE International Conference on Acoustics, 2023

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

Proceedings of the 31st European Signal Processing Conference, 2023

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification.

Yuqing Hu, Stéphane Pateux, Vincent Gripon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Rethinking Weight Decay for Efficient Neural Network Pruning.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

J. Imaging, 2022

Easy - Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components.

Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon

J. Imaging, 2022

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

CoRR, 2022

Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings.

Aymane Abdali, Vincent Gripon, Lucas Drumetz, Bartosz Boguslawski

CoRR, 2022

Preserving Fine-Grain Feature Information in Classification via Entropic Regularization.

Raphaël Baena, Lucas Drumetz, Vincent Gripon

CoRR, 2022

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

Yassir Bendou, Yuqing Hu, Raphaël Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon

CoRR, 2022

Preventing Manifold Intrusion with Locality: Local Mixup.

Raphaël Baena, Lucas Drumetz, Vincent Gripon

CoRR, 2022

Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning.

Yuqing Hu, Stéphane Pateux, Vincent Gripon

Algorithms, 2022

Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers.

Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon

Proceedings of the Advances in System-Integrated Intelligence, 2022

Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the Advances in System-Integrated Intelligence, 2022

Leveraging Structured Pruning of Convolutional Neural Networks.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding.

Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 30th European Signal Processing Conference, 2022

A Local Mixup to Prevent Manifold Intrusion.

Raphaël Baena, Lucas Drumetz, Vincent Gripon

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Quantization and Deployment of Deep Neural Networks on Microcontrollers.

Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon

Sensors, 2021

Improved Visual Localization via Graph Filtering.

Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid

J. Imaging, 2021

Predicting the Generalization Ability of a Few-Shot Classifier.

Myriam Bontonou, Louis Béthune, Vincent Gripon

Inf., 2021

Graphs as Tools to Improve Deep Learning Methods.

Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

CoRR, 2021

Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification.

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

CoRR, 2021

Representing Deep Neural Networks Latent Space Geometries with Graphs.

Carlos Lassance, Vincent Gripon, Antonio Ortega

Algorithms, 2021

Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes.

Mathieu Léonardon, Vincent Gripon

Proceedings of the 11th International Symposium on Topics in Coding, 2021

Improving Classification Accuracy With Graph Filtering.

Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards an Intrinsic Definition of Robustness for a Classifier.

Théo Giraudon, Vincent Gripon, Matthias Löwe, Franck Vermet

Proceedings of the IEEE International Conference on Acoustics, 2021

Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning.

Yuqing Hu, Vincent Gripon, Stéphane Pateux

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Few-Shot Decoding of Brain Activation Maps.

Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon

Proceedings of the 29th European Signal Processing Conference, 2021

Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks.

Raphaël Baena, Lucas Drumetz, Vincent Gripon

Proceedings of the 29th European Signal Processing Conference, 2021

Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps?

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems.

Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene

CoRR, 2020

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs.

Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon

CoRR, 2020

Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

CoRR, 2020

Few-shot Learning for Decoding Brain Signals.

Myriam Bontonou, Nicolas Farrugia, Vincent Gripon

CoRR, 2020

Some Remarks on Replicated Simulated Annealing.

Vincent Gripon, Matthias Löwe, Franck Vermet

CoRR, 2020

ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget.

Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon

CoRR, 2020

Predicting the Accuracy of a Few-Shot Classifier.

Myriam Bontonou, Louis Béthune, Vincent Gripon

CoRR, 2020

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.

Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos

CoRR, 2020

Exploiting Unsupervised Inputs for Accurate Few-Shot Classification.

Yuqing Hu, Vincent Gripon, Stéphane Pateux

CoRR, 2020

Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks.

Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio

Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

Graph Topology Inference Benchmarks for Machine Learning.

Carlos Lassance, Vincent Gripon, Gonzalo Mateos

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification.

Yuqing Hu, Vincent Gripon, Stéphane Pateux

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Attention Based Pruning for Shift Networks.

Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio

Proceedings of the 25th International Conference on Pattern Recognition, 2020

GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning.

Lyes Khacef, Vincent Gripon, Benoît Miramond

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Deep Geometric Knowledge Distillation with Graphs.

Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Efficient Representations for Graph and Neural Network Signals. (Représentations efficaces pour les signaux sur graphes et réseaux de neurones).

Vincent Gripon

, 2020

2019

Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

J. Signal Process. Syst., 2019

Improved Visual Localization via Graph Smoothing.

Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid

CoRR, 2019

Comparing linear structure-based and data-driven latent spatial representations for sequence prediction.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia

CoRR, 2019

A Unified Deep Learning Formalism For Processing Graph Signals.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

CoRR, 2019

Efficient Hardware Implementation of Incremental Learning and Inference on Chip.

Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019

Training Modern Deep Neural Networks for Memory-Fault Robustness.

Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Transfer Learning with Sparse Associative Memories.

Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Structural Robustness for Deep Learning Architectures.

Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the IEEE Data Science Workshop, 2019

Introducing Graph Smoothness Loss for Training Deep Learning Architectures.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the IEEE Data Science Workshop, 2019

2018

Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals.

Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat

IEEE Trans. Signal Inf. Process. over Networks, 2018

Memory Vectors for Similarity Search in High-Dimensional Spaces.

Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou

IEEE Trans. Big Data, 2018

SimiNet: A Novel Method for Quantifying Brain Network Similarity.

Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, Fabrice Wendling

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.

Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio

CoRR, 2018

Transfer Incremental Learning using Data Augmentation.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

CoRR, 2018

Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense.

Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega

CoRR, 2018

An Inside Look at Deep Neural Networks Using Graph Signal Processing.

Vincent Gripon, Antonio Ortega, Benjamin Girault

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation.

Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph-Projected Signal Processing.

Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Matching Convolutional Neural Networks without Priors about Data.

Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Convolutional neural networks on irregular domains through approximate translations on inferred graphs.

Bastien Pasdeloup, Vincent Gripon, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise.

Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou

CoRR, 2017

Translations on graphs with neighborhood preservation.

Bastien Pasdeloup, Vincent Gripon, Nicolas Grelier, Jean-Charles Vialatte, Dominique Pastor

CoRR, 2017

NoC-MRAM architecture for memory-based computing: Database-search case study.

Mostafa Rizk, Jean-Philippe Diguet, Naoya Onizawa, Amer Baghdadi, Martha Johanna Sepúlveda, Y. Akgul, Vincent Gripon, Takahiro Hanyu

Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017

Learning local receptive fields and their weight sharing scheme on graphs.

Jean-Charles Vialatte, Vincent Gripon, Gilles Coppin

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction.

Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Incremental learning on chip.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Tropical graph signal processing.

Vincent Gripon

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Fault-Tolerant Associative Memories Based on c-Partite Graphs.

François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross

IEEE Trans. Signal Process., 2016

Storing Sequences in Binary Tournament-Based Neural Networks.

Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael G. Rabbat

IEEE Trans. Neural Networks Learn. Syst., 2016

Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits.

Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann

IEEE Trans. Neural Networks Learn. Syst., 2016

Generalizing the Convolution Operator to Extend CNNs to Irregular Domains.

Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier

CoRR, 2016

Characterization and inference of weighted graph topologies from observations of diffused signals.

Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor, Michael G. Rabbat

CoRR, 2016

Associative Memories to Accelerate Approximate Nearest Neighbor Search.

Vincent Gripon, Matthias Löwe, Franck Vermet

CoRR, 2016

A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention.

Ala Aboudib, Vincent Gripon, Gilles Coppin

Cogn. Comput., 2016

Assembly output codes for learning neural networks.

Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Distributed coding and synaptic pruning.

Eliott Coyac, Vincent Gripon, Charlotte Langlais, Claude Berrou

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

A turbo-inspired iterative approach for correspondence problems of image features.

Ala Aboudib, Vincent Gripon, Gilles Coppin

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Nearest Neighbour Search using binary neural networks.

Demetrio Ferro, Vincent Gripon, Xiaoran Jiang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Massively parallel implementation of sparse message retrieval algorithms in Clustered Clique Networks.

Philippe Tigreat, Pierre-Henri Horrein, Vincent Gripon

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Towards a characterization of the uncertainty curve for graphs.

Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier, Dominique Pastor

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Compression of Deep Neural Networks on the Fly.

Guillaume Soulié, Vincent Gripon, Maëlys Robert

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A Neural Network Model for Solving the Feature Correspondence Problem.

Ala Aboudib, Vincent Gripon, Gilles Coppin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Neighborhood-preserving translations on graphs.

Nicolas Grelier, Bastien Pasdeloup, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Associative Memory based on clustered Neural Networks: Improved model and architecture for Oriented Edge Detection.

Robin Danilo, Hugues Nono Wouafo, Cyrille Chavet, Vincent Gripon, Laura Conde-Canencia, Philippe Coussy

Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016

2015

Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse Clustered Networks.

Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross

IEEE Trans. Very Large Scale Integr. Syst., 2015

A novel algorithm for measuring graph similarity: Application to brain networks.

Ahmad Mheich, Mahmoud Hassan, Vincent Gripon, Mohamad Khalil, Claude Berrou, Olivier Dufor, Fabrice Wendling

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Algorithm and implementation of an associative memory for oriented edge detection using improved clustered neural networks.

Robin Danilo, Hooman Jarollahi, Vincent Gripon, Philippe Coussy, Laura Conde-Canencia, Warren J. Gross

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

A model of bottom-up visual attention using cortical magnification.

Ala Aboudib, Vincent Gripon, Gilles Coppin

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Restricted Clustered Neural Network for Storing Real Data.

Robin Danilo, Philippe Coussy, Laura Conde-Canencia, Vincent Gripon, Warren J. Gross

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Toward an uncertainty principle for weighted graphs.

Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat

Proceedings of the 23rd European Signal Processing Conference, 2015

Graph reconstruction from the observation of diffused signals.

Bastien Pasdeloup, Michael G. Rabbat, Vincent Gripon, Dominique Pastor, Grégoire Mercier

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Algorithm and Architecture of Fully-Parallel Associative Memories Based on Sparse Clustered Networks.

Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross

J. Signal Process. Syst., 2014

A Nonvolatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS/MTJ-Hybrid Logic-in-Memory Architecture.

Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Noboru Sakimura, Tadahiko Sugibayashi, Tetsuo Endoh, Hideo Ohno, Takahiro Hanyu, Warren J. Gross

IEEE J. Emerg. Sel. Topics Circuits Syst., 2014

Combating Corrupt Messages in Sparse Clustered Associative Memories.

Zhe Yao, Vincent Gripon, Michael G. Rabbat

CoRR, 2014

Algorithm and architecture for a multiple-field context-driven search engine using fully-parallel clustered associative memories.

Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu, Warren J. Gross

Proceedings of the 2014 IEEE Workshop on Signal Processing Systems, 2014

Information, noise, coding, modulation: What about the brain?

Claude Berrou, Olivier Dufor, Vincent Gripon, Xiaoran Jiang

Proceedings of the 8th International Symposium on Turbo Codes and Iterative Information Processing, 2014

Towards a spectral characterization of signals supported on small-world networks.

Michael G. Rabbat, Vincent Gripon

Proceedings of the IEEE International Conference on Acoustics, 2014

Cluster-based associative memories built from unreliable storage.

François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross

Proceedings of the IEEE International Conference on Acoustics, 2014

A GPU-based associative memory using sparse Neural Networks.

Zhe Yao, Vincent Gripon, Michael G. Rabbat

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Sparse binary matrices as efficient associative memories.

Vincent Gripon, Vitaly Skachek, Michael G. Rabbat

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques.

Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Massively Parallel Associative Memory Based on Sparse Neural Networks

Zhe Yao, Vincent Gripon, Michael G. Rabbat

CoRR, 2013

Bounds on associative memories

Vincent Gripon, Michael G. Rabbat

CoRR, 2013

Improving Sparse Associative Memories by Escaping from Bogus Fixed Points.

Zhe Yao, Vincent Gripon, Michael G. Rabbat

CoRR, 2013

Storing non-uniformly distributed messages in networks of neural cliques.

Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann

CoRR, 2013

A study of retrieval algorithms of sparse messages in networks of neural cliques.

Ala Aboudib, Vincent Gripon, Xiaoran Jiang

CoRR, 2013

Maximum likelihood associative memories.

Vincent Gripon, Michael G. Rabbat

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Reconstructing a graph from path traces.

Vincent Gripon, Michael G. Rabbat

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Reduced-complexity binary-weight-coded associative memories.

Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross

Proceedings of the IEEE International Conference on Acoustics, 2013

A low-power Content-Addressable Memory based on clustered-sparse networks.

Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross

Proceedings of the 24th International Conference on Application-Specific Systems, 2013

Sparse structured associative memories as efficient set-membership data structures.

Vincent Gripon, Vitaly Skachek, Michael G. Rabbat

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Learning sparse messages in networks of neural cliques

Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran Jiang

CoRR, 2012

Forwarding Without Repeating: Efficient Rumor Spreading in Bounded-Degree Graphs

Vincent Gripon, Vitaly Skachek, Michael G. Rabbat

CoRR, 2012

Compressing multisets using tries.

Vincent Gripon, Michael G. Rabbat, Vitaly Skachek, Warren J. Gross

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Nearly-optimal associative memories based on distributed constant weight codes.

Vincent Gripon, Claude Berrou

Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Random clique codes.

Vincent Gripon, Vitaly Skachek, Warren J. Gross, Michael G. Rabbat

Proceedings of the 7th International Symposium on Turbo Codes and Iterative Information Processing, 2012

Architecture and implementation of an associative memory using sparse clustered networks.

Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011

Networks of Neural Cliques. (Réseaux de cliques neurales).

Vincent Gripon

PhD thesis, 2011

Sparse Neural Networks With Large Learning Diversity.

Vincent Gripon, Claude Berrou

IEEE Trans. Neural Networks, 2011

A simple and efficient way to store many messages using neural cliques.

Vincent Gripon, Claude Berrou

Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2009

Qualitative Concurrent Games with Imperfect Information

Vincent Gripon, Olivier Serre

CoRR, 2009

Qualitative Concurrent Stochastic Games with Imperfect Information.

Vincent Gripon, Olivier Serre

Proceedings of the Automata, Languages and Programming, 36th Internatilonal Colloquium, 2009