Michaël Mathieu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Human Pose and Action Recognition 2
- Digital Media Forensic Detection 2
- Advanced Image Processing Techniques 2
- Image and Signal Denoising Methods 1
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- Neural Networks and Applications 2
- Topic Modeling 1
- Co-authors
- Yann LeCun (8 shared papers)Mikael Henaff (4 shared papers)Anna Choromanska (2 shared papers)Gérard Ben Arous (2 shared papers)Pierre Sermanet (2 shared papers)Y. Le Cun (1 shared paper)Karol Gregor (1 shared paper)Y-Lan Boureau (1 shared paper)
- Journals
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)International Conference on Learning Representations (4 papers)arXiv (Cornell University) (5 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Michaël Mathieu
11 papers receiving 1.1k citations
Michaël Mathieu's Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 690
- Artificial Intelligence 520
- Computational Mathematics 9
- Media Technology 88
- Signal Processing 96
Countries citing papers authored by Michaël Mathieu
This map shows the geographic impact of Michaël Mathieu'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 Michaël Mathieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Mathieu more than expected).
Fields of papers citing papers by Michaël Mathieu
This network shows the impact of papers produced by Michaël Mathieu. 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 Michaël Mathieu. The network helps show where Michaël Mathieu may publish in the future.
Co-authors
The 21 scholars most cited alongside Michaël Mathieu, 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 | Learning Convolutional Feature Hierarchies for Visual Recognition Hit paper breakdown → | 2010 | 374 |
| 2 | The Loss Surfaces of Multilayer Networks Hit paper breakdown → | 2014 | 305 |
| 3 | Fast Training of Convolutional Networks through FFTs | 2014 | 237 |
| 4 | 2016 | 102 | |
| 5 | Energy-based Generative Adversarial Networks | 2017 | 57 |
| 6 | The Loss Surface of Multilayer Networks. | 2014 | 32 |
| 7 | Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014 | 2014 | 19 |
| 8 | 2015 | 18 | |
| 9 | Learning Longer Memory in Recurrent Neural Networks | 2014 | 12 |
| 10 | Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 | 2014 | 6 |
| 11 | 1990 | 2 |
About Michaël Mathieu
Michaël Mathieu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Signal Processing, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Human Pose and Action Recognition (2 papers), Neural Networks and Applications (2 papers), Digital Media Forensic Detection (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Optical Network Technologies (1 paper), Image and Signal Denoising Methods (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (690 citations), Artificial Intelligence (520 citations), Computational Mathematics (9 citations), Media Technology (88 citations) and Signal Processing (96 citations). Michaël Mathieu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Yann LeCun, Mikael Henaff, Anna Choromanska, Gérard Ben Arous, Pierre Sermanet, Y. Le Cun, Karol Gregor, Y-Lan Boureau, Koray Kavukcuoglu and Junbo Zhao. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, International Conference on Learning Representations, arXiv (Cornell University) and Neural Information Processing Systems.
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.