Olivier Teboul
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Geology top 5%
- Environmental Engineering
- Co-authors
- Nikos ParagiosNeil ZeghidourMarco TagliasacchiDavid GrangierDamien VincentEugene KharitonovZalán BorsosDominik Roblek
- Topics
- Advanced Vision and Imaging (4 papers)Speech and Audio Processing (3 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNature MethodsAnnals of Oncology
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Olivier Teboul
15 papers receiving 447 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 169
- Computer Vision and Pattern Recognition 168
- Signal Processing 114
- Geology 78
- Environmental Engineering 61
Countries citing papers authored by Olivier Teboul
This map shows the geographic impact of Olivier Teboul'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 Olivier Teboul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Teboul more than expected).
Fields of papers citing papers by Olivier Teboul
This network shows the impact of papers produced by Olivier Teboul. 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 Olivier Teboul. The network helps show where Olivier Teboul may publish in the future.
Co-authorship network of co-authors of Olivier Teboul
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Teboul. A scholar is included among the top collaborators of Olivier Teboul 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 Olivier Teboul. Olivier Teboul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | AudioLM: A Language Modeling Approach to Audio Generationbreakdown → | 201 |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 18 | |
| 6 | Shuffle to Learn: Self-supervised learning from permutations via differentiable ranking | 1 |
| 7 | Learning with Differentiable Pertubed Optimizers | 20 |
| 8 | Differentiable Ranking and Sorting using Optimal Transport | 20 |
| 9 | Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator | 1 |
| 10 | 61 | |
| 11 | 27 | |
| 12 | 23 | |
| 13 | 55 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 1 |
About Olivier Teboul
Olivier Teboul is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Speech and Audio Processing (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Geology (78 citations), Signal Processing (114 citations) and Computer Vision and Pattern Recognition (168 citations). Olivier Teboul has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Nikos Paragios, Neil Zeghidour, Marco Tagliasacchi, David Grangier, Damien Vincent, Eugene Kharitonov, Zalán Borsos, Dominik Roblek, Matt Sharifi and Raphaël Marinier. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and Annals of Oncology.
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.