Raphaël Marinier
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Reinforcement Learning in Robotics
Papers in
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- Reinforcement Learning in Robotics 2
- Speech Recognition and Synthesis 2
- Topic Modeling 1
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- Advanced Vision and Imaging 1
- Human Pose and Action Recognition 1
- Co-authors
- Damien Vincent (4 shared papers)Olivier Pietquin (4 shared papers)Eugene Kharitonov (2 shared papers)Neil Zeghidour (2 shared papers)Zalán Borsos (2 shared papers)Marco Tagliasacchi (2 shared papers)Matt Sharifi (2 shared papers)David Grangier (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Transactions of the Association for Computational Linguistics (1 paper)International journal of network security (1 paper)International Conference on Learning Representations (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Raphaël Marinier
6 papers receiving 339 citations
Raphaël Marinier's Hit Papers
Peers
Comparison fields: 5 of 62
- Signal Processing 132
- Artificial Intelligence 217
- Computer Vision and Pattern Recognition 93
- Health Informatics 5
- Experimental and Cognitive Psychology 14
Countries citing papers authored by Raphaël Marinier
This map shows the geographic impact of Raphaël Marinier'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 Raphaël Marinier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Marinier more than expected).
Fields of papers citing papers by Raphaël Marinier
This network shows the impact of papers produced by Raphaël Marinier. 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 Raphaël Marinier. The network helps show where Raphaël Marinier may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Marinier, 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 | AudioLM: A Language Modeling Approach to Audio Generation Hit paper breakdown → | 2023 | 225 |
| 2 | 2023 | 60 | |
| 3 | FVD: A new Metric for Video Generation | 2019 | 29 |
| 4 | What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study | 2021 | 27 |
| 5 | Episodic Curiosity through Reachability | 2018 | 10 |
| 6 | An Adaptive Chosen-plaintext Attack of the Improved Cellular Message Encryption Algorithm | 2009 | 1 |
| 7 | 2021 | 0 |
About Raphaël Marinier
Raphaël Marinier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (2 papers), Speech Recognition and Synthesis (2 papers), Video Coding and Compression Technologies (1 paper), Advanced Vision and Imaging (1 paper), Music and Audio Processing (1 paper), Topic Modeling (1 paper), Psychological and Educational Research Studies (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Signal Processing (132 citations), Artificial Intelligence (217 citations), Computer Vision and Pattern Recognition (93 citations), Health Informatics (5 citations) and Experimental and Cognitive Psychology (14 citations). Raphaël Marinier has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Damien Vincent, Olivier Pietquin, Eugene Kharitonov, Neil Zeghidour, Zalán Borsos, Marco Tagliasacchi, Matt Sharifi, David Grangier, Olivier Teboul and Dominik Roblek. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics, International journal of network security, International Conference on Learning Representations and arXiv (Cornell University).
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.