Stéphane d’Ascoli
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Neural Networks and Applications 3
- Stochastic Gradient Optimization Techniques 2
- Topic Modeling 2
- Natural Language Processing Techniques 2
- Neural Networks and Reservoir Computing 2
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- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Giulio Biroli (5 shared papers)Levent Sagun (5 shared papers)Matthew L. Leavitt (1 shared paper)Ari S. Morcos (1 shared paper)Hugo Touvron (1 shared paper)Matthieu Wyart (2 shared papers)Stefano Spigler (2 shared papers)Mario Geiger (2 shared papers)
- Journals
- Nature Communications (1 paper)The Astrophysical Journal (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)Physical review. E (1 paper)Journal of Statistical Mechanics Theory and Experiment (4 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Stéphane d’Ascoli
12 papers receiving 733 citations
Stéphane d’Ascoli's Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 349
- Artificial Intelligence 313
- Media Technology 53
- Astronomy and Astrophysics 68
- Neurology 26
Countries citing papers authored by Stéphane d’Ascoli
This map shows the geographic impact of Stéphane d’Ascoli'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 Stéphane d’Ascoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane d’Ascoli more than expected).
Fields of papers citing papers by Stéphane d’Ascoli
This network shows the impact of papers produced by Stéphane d’Ascoli. 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 Stéphane d’Ascoli. The network helps show where Stéphane d’Ascoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane d’Ascoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ConViT: improving vision transformers with soft convolutional inductive biases* Hit paper breakdown → | 2022 | 555 |
| 2 | 2020 | 69 | |
| 3 | 2018 | 67 | |
| 4 | 2019 | 46 | |
| 5 | 2021 | 9 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2025 | 2 | |
| 9 | Triple descent and the two kinds of overfitting: Where & why do they appear? | 2020 | 2 |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 1 |
About Stéphane d’Ascoli
Stéphane d’Ascoli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Condensed Matter Physics and Astronomy and Astrophysics, having authored 12 papers that have together received 760 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers), Statistical Mechanics and Entropy (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Neural Networks and Reservoir Computing (2 papers) and Pulsars and Gravitational Waves Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Artificial Intelligence (313 citations), Media Technology (53 citations), Astronomy and Astrophysics (68 citations) and Neurology (26 citations). Stéphane d’Ascoli has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Giulio Biroli, Levent Sagun, Matthew L. Leavitt, Ari S. Morcos, Hugo Touvron, Matthieu Wyart, Stefano Spigler, Mario Geiger, Vassilios Mewes and Scott C. Noble. Their work appears in journals such as Nature Communications, The Astrophysical Journal, Journal of Physics A Mathematical and Theoretical, Physical review. E and Journal of Statistical Mechanics Theory and Experiment.
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.