Gauthier Gidel

820 total citations
12 papers, 36 citations indexed

About

Gauthier Gidel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Gauthier Gidel has authored 12 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Gauthier Gidel's work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Optimization Algorithms Research (3 papers) and Model Reduction and Neural Networks (3 papers). Gauthier Gidel is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Optimization Algorithms Research (3 papers) and Model Reduction and Neural Networks (3 papers). Gauthier Gidel collaborates with scholars based in Canada, France and United States. Gauthier Gidel's co-authors include Simon Lacoste-Julien, Ioannis Mitliagkas, Gaëtan Vignoud, Pascal Vincent, Amjad Almahairi, James P. Bailey, Georgios Piliouras, Tatjana Chavdarova, François Fleuret and Tony Jebara and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Gauthier Gidel

9 papers receiving 35 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gauthier Gidel Canada	5	28	16	11	6	6	12	36
Rahul Kidambi United States	5	31 1.1×	13 0.8×	4 0.4×	2 0.3×	8 1.3×	12	40
Michał Dereziński United States	4	24 0.9×	12 0.8×	4 0.4×	3 0.5×	10 1.7×	18	43
Aymeric Dieuleveut France	4	38 1.4×	17 1.1×	3 0.3×	8 1.3×	6 1.0×	12	56
Blake Woodworth United States	5	70 2.5×	27 1.7×	5 0.5×	8 1.3×	6 1.0×	9	94
Aldo Pacchiano United States	4	53 1.9×	5 0.3×	10 0.9×	2 0.3×	10 1.7×	19	66
Eduard Gorbunov Russia	6	42 1.5×	35 2.2×	4 0.4×	19 3.2×	2 0.3×	14	70
Felix Lenders Germany	3	9 0.3×	13 0.8×	3 0.3×	9 1.5×	3 0.5×	4	47
Theodor Misiakiewicz United States	5	37 1.3×	16 1.0×	3 0.3×	1 0.2×	14 2.3×	7	60
Kumar Kshitij Patel United States	4	54 1.9×	7 0.4×	14 1.3×		9 1.5×	4	63
W. Sun United States	4	23 0.8×	6 0.4×	18 1.6×		1 0.2×	10	36

Countries citing papers authored by Gauthier Gidel

Since Specialization

Citations

This map shows the geographic impact of Gauthier Gidel'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 Gauthier Gidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gauthier Gidel more than expected).

Fields of papers citing papers by Gauthier Gidel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gauthier Gidel. 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 Gauthier Gidel. The network helps show where Gauthier Gidel may publish in the future.

Co-authorship network of co-authors of Gauthier Gidel

This figure shows the co-authorship network connecting the top 25 collaborators of Gauthier Gidel. A scholar is included among the top collaborators of Gauthier Gidel 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 Gauthier Gidel. Gauthier Gidel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Gidel, Gauthier, et al.. (2024). Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. arXiv (Cornell University). 102531–102567.

Eskofier, Bjoern M., et al.. (2024). On the Scalability of Certified Adversarial Robustness with Generated Data. 102255–102278.

Bailey, James P., Gauthier Gidel, & Georgios Piliouras. (2020). Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent. Conference on Learning Theory. 391–407. 3 indexed citations

Mitliagkas, Ioannis, et al.. (2020). A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.. International Conference on Artificial Intelligence and Statistics. 2863–2873. 7 indexed citations

Scieur, Damien, et al.. (2020). Accelerating Smooth Games by Manipulating Spectral Shapes.. International Conference on Artificial Intelligence and Statistics. 1705–1715.

Gidel, Gauthier, et al.. (2020). A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. International Conference on Learning Representations. 4 indexed citations

Gidel, Gauthier, et al.. (2020). Linear Lower Bounds and Conditioning of Differentiable Games. International Conference on Machine Learning. 1. 4583–4593. 2 indexed citations

Mitliagkas, Ioannis, et al.. (2019). A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.. arXiv (Cornell University). 2 indexed citations

Chavdarova, Tatjana, Gauthier Gidel, François Fleuret, & Simon Lacoste-Julien. (2019). Reducing Noise in GAN Training with Variance Reduced Extragradient. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 32. 391–401. 5 indexed citations

10.

Gidel, Gauthier, et al.. (2018). A Variational Inequality Perspective on Generative Adversarial Networks. arXiv (Cornell University). 8 indexed citations

11.

Gidel, Gauthier, Fabián Pedregosa, & Simon Lacoste-Julien. (2018). Frank-Wolfe Splitting via Augmented Lagrangian Method. International Conference on Artificial Intelligence and Statistics. 1456–1465. 1 indexed citations

12.

Gidel, Gauthier, Tony Jebara, & Simon Lacoste-Julien. (2017). Frank-Wolfe Algorithms for Saddle Point Problems. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations

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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