Vincent Gripon

1.9k citations

51 papers · 766 · h-index 14

Impact in

Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Advanced Graph Neural Networks
- Machine Learning and ELM
Computer Vision and Pattern Recognition top 5%
- Advanced Neural Network Applications

Papers in

Artificial Intelligence 37
- Domain Adaptation and Few-Shot Learning 17
- Neural Networks and Applications 12
- Machine Learning and ELM 8
- Adversarial Robustness in Machine Learning 5
- Anomaly Detection Techniques and Applications 5
Computer Vision and Pattern Recognition 23
- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 7

Co-authors: Stéphane Pateux (3 shared papers)Yuqing Hu (3 shared papers)Claude Berrou (3 shared papers)Benoît Miramond (2 shared papers)Bastien Pasdeloup (6 shared papers)Alain Pégatoquet (1 shared paper)Michael Rabbat (4 shared papers)Grégoire Mercier (2 shared papers)
Journals: IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Sensors (1 paper)Signal Processing (1 paper)Cognitive Computation (1 paper)
Partner nations: France Canada Japan

In The Last Decade

Vincent Gripon

47 papers receiving 749 citations

Peers

Countries citing papers authored by Vincent Gripon

Since Specialization

Citations

This map shows the geographic impact of Vincent Gripon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vincent Gripon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Gripon more than expected).

Fields of papers citing papers by Vincent Gripon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Gripon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vincent Gripon. The network helps show where Vincent Gripon may publish in the future.

Co-authors

The 25 scholars most cited alongside Vincent Gripon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Gripon Line = papers co-authored together Vincent Gripon links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Quantization and Deployment of Deep Neural Networks on Microcontrollers Sensors ·Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pégatoquet, Benoît Miramond, Vincent Gripon	2021	127
2	Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning Lecture notes in computer science ·Yuqing Hu, Vincent Gripon, Stéphane Pateux	2021	114
3	Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals HAL (Le Centre pour la Communication Scientifique Directe) ·Vincent Gripon, Bastien Pasdeloup, Grégoire Mercier, Dominique Pastor, Michael Rabbat	2018	84
4	Sparse Neural Networks With Large Learning Diversity IEEE Transactions on Neural Networks ·Vincent Gripon, Claude Berrou	2011	78
5	Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components Journal of Imaging ·Yassir Bendou, Yuqing Hu, Raphael Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon	2022	51
6	A Nonvolatile Associative Memory-Based Context-Driven Search Engine Using 90 nm CMOS/MTJ-Hybrid Logic-in-Memory Architecture IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Noboru Sakimura, Tadahiko Sugibayashi, Tetsuo Endoh, Hideo Ohno, Takahiro Hanyu, Warren J. Gross	2014	29
7	Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Algorithms ·Yuqing Hu, Stéphane Pateux, Vincent Gripon	2022	27
8	SimiNet: A Novel Method for Quantifying Brain Network Similarity IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil, Vincent Gripon, Olivier Dufor, Fabrice Wendling	2017	25
9	Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse Clustered Networks IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Hooman Jarollahi, Vincent Gripon, Naoya Onizawa, Warren J. Gross	2014	23
10	Training Modern Deep Neural Networks for Memory-Fault Robustness HAL (Le Centre pour la Communication Scientifique Directe) ·Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon	2019	21
11	Rethinking Weight Decay for Efficient Neural Network Pruning Journal of Imaging ·Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, D. Bertrand	2022	20
12	Storing Sequences in Binary Tournament-Based Neural Networks IEEE Transactions on Neural Networks and Learning Systems ·Xiaoran Jiang, Vincent Gripon, Claude Berrou, Michael Rabbat	2015	20
13	A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention Cognitive Computation ·Ala Aboudib, Vincent Gripon, Gilles Coppin	2016	15
14	Architecture and implementation of an associative memory using sparse clustered networks HAL (Le Centre pour la Communication Scientifique Directe) ·Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross	2012	13
15	Storing Sparse Messages in Networks of Neural Cliques IEEE Transactions on Neural Networks and Learning Systems ·Behrooz Kamary Aliabadi, Claude Berrou, Vincent Gripon, Xiaoran Jiang	2013	12
16	Compression of Deep Neural Networks on the Fly Lecture notes in computer science ·Guillaume Soulié, Vincent Gripon, (unknown)	2016	11
17	Reduced-complexity binary-weight-coded associative memories Hooman Jarollahi, Naoya Onizawa, Vincent Gripon, Warren J. Gross	2013	9
18	Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques Proceedings of the AAAI Conference on Artificial Intelligence ·Bartosz Boguslawski, Vincent Gripon, Fabrice Seguin, Frédéric Heitzmann	2014	7
19	Transfer Incremental Learning Using Data Augmentation Applied Sciences ·Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel	2018	6
20	Laplacian networks: bounding indicator function smoothness for neural networks robustness APSIPA Transactions on Signal and Information Processing ·Carlos Lassance, Vincent Gripon, Antonio Ortega	2021	6

About Vincent Gripon

Vincent Gripon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Cognitive Neuroscience, having authored 51 papers that have together received 766 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (17 papers), Neural Networks and Applications (12 papers), Advanced Neural Network Applications (9 papers), Advanced Memory and Neural Computing (8 papers), Machine Learning and ELM (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (463 citations), Computer Vision and Pattern Recognition (234 citations), Hardware and Architecture (59 citations), Statistical and Nonlinear Physics (67 citations) and Cognitive Neuroscience (81 citations). Vincent Gripon has collaborated with scholars based in France, Canada and Japan. Frequent co-authors include Stéphane Pateux, Yuqing Hu, Claude Berrou, Benoît Miramond, Bastien Pasdeloup, Alain Pégatoquet, Michael Rabbat, Grégoire Mercier, Warren J. Gross and Naoya Onizawa. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Sensors, Signal Processing and Cognitive Computation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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