Vincent Gripon

1.9k total citations
54 papers, 599 citations indexed

About

Vincent Gripon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Vincent Gripon has authored 54 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Vincent Gripon's work include Domain Adaptation and Few-Shot Learning (15 papers), Neural Networks and Applications (12 papers) and Advanced Memory and Neural Computing (8 papers). Vincent Gripon is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Neural Networks and Applications (12 papers) and Advanced Memory and Neural Computing (8 papers). Vincent Gripon collaborates with scholars based in France, Canada and India. Vincent Gripon's co-authors include Claude Berrou, Bastien Pasdeloup, Alain Pégatoquet, Benoît Miramond, Michael Rabbat, Grégoire Mercier, Warren J. Gross, Yuqing Hu, Naoya Onizawa and Stéphane Pateux and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Vincent Gripon

48 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vincent Gripon France 13 327 197 149 93 71 54 599
Steven R. Young United States 13 400 1.2× 204 1.0× 161 1.1× 53 0.6× 31 0.4× 36 741
Ziheng Jiang China 10 384 1.2× 168 0.9× 409 2.7× 144 1.5× 25 0.4× 24 905
Yuke Wang United States 17 557 1.7× 210 1.1× 156 1.0× 241 2.6× 20 0.3× 69 947
Itay Hubara Israel 7 450 1.4× 226 1.1× 515 3.5× 41 0.4× 22 0.3× 10 791
Michiel Hermans Belgium 12 499 1.5× 306 1.6× 82 0.6× 49 0.5× 96 1.4× 21 758
Alberto Marchisio United Arab Emirates 11 223 0.7× 275 1.4× 168 1.1× 67 0.7× 29 0.4× 46 544
Hiroomi Hikawa Japan 12 307 0.9× 240 1.2× 102 0.7× 51 0.5× 34 0.5× 89 532
Dake He United States 15 225 0.7× 390 2.0× 212 1.4× 248 2.7× 45 0.6× 115 764
Mitra Mirhassani Canada 12 258 0.8× 377 1.9× 57 0.4× 46 0.5× 54 0.8× 78 643

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-authorship network of co-authors of Vincent Gripon

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Gripon. A scholar is included among the top collaborators of Vincent Gripon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vincent Gripon. Vincent Gripon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Drumetz, Lucas, et al.. (2025). Anomalous Samples for Few-Shot Anomaly Detection. Procedia Computer Science. 264. 104–114.
2.
3.
Gripon, Vincent, et al.. (2025). ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models. 25092–25102. 2 indexed citations
4.
Onizawa, Naoya, et al.. (2024). Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. arXiv (Cornell University). 928–931.
5.
Gripon, Vincent, et al.. (2023). A Statistical Model for Predicting Generalization in Few-Shot Classification. SPIRE - Sciences Po Institutional REpository. 1260–1264. 2 indexed citations
6.
Gripon, Vincent, et al.. (2023). Active Learning for Efficient Few-Shot Classification. HAL (Le Centre pour la Communication Scientifique Directe). 34. 1–5. 1 indexed citations
7.
Drumetz, Lucas, et al.. (2023). Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. SPIRE - Sciences Po Institutional REpository. 17. 1–5. 1 indexed citations
8.
Gripon, Vincent, et al.. (2022). Rethinking Weight Decay for Efficient Neural Network Pruning. Journal of Imaging. 8(3). 64–64. 15 indexed citations
9.
Lassance, Carlos, Vincent Gripon, & Antonio Ortega. (2021). Laplacian networks: bounding indicator function smoothness for neural networks robustness. APSIPA Transactions on Signal and Information Processing. 10(1). 5 indexed citations
10.
Gripon, Vincent, et al.. (2018). Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals. HAL (Le Centre pour la Communication Scientifique Directe). 82 indexed citations
11.
Lassance, Carlos, Vincent Gripon, & Antonio Ortega. (2018). Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense.. arXiv (Cornell University). 3 indexed citations
12.
Gripon, Vincent, et al.. (2017). Harmonic current based islanding detection for grid connected PV systems. 191–195. 5 indexed citations
13.
Gripon, Vincent, et al.. (2016). Generalizing the Convolution Operator to extend CNNs to Irregular Domains. 1. 1 indexed citations
14.
Gripon, Vincent, et al.. (2016). A detailed investigation of PV parameter estimation under varying climatic conditions. 1–6. 1 indexed citations
15.
Onizawa, Naoya, Vincent Gripon, Noboru Sakimura, et al.. (2014). 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. 4(4). 460–474. 26 indexed citations
16.
Gripon, Vincent, et al.. (2014). Algorithm and Architecture for a Low-Power Content-Addressable Memory Based on Sparse Clustered Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23(4). 642–653. 22 indexed citations
17.
Gripon, Vincent, et al.. (2014). Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 5 indexed citations
18.
Berrou, Claude, et al.. (2013). Storing Sparse Messages in Networks of Neural Cliques. IEEE Transactions on Neural Networks and Learning Systems. 25(5). 980–989. 10 indexed citations
19.
Gripon, Vincent & Claude Berrou. (2011). Sparse Neural Networks With Large Learning Diversity. IEEE Transactions on Neural Networks. 22(7). 1087–1096. 70 indexed citations
20.

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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