Gabriel Peyré Explained

Gabriel Peyré
Nationality:	French
Fields:	Applied mathematics
Workplaces:	ENS and CNRS
Awards:	Blaise Pascal Prize (2017) of the Académie des sciences Enrico Magenes Prize (2019) of the Unione Matematica Italiana

Gabriel Peyré (born 1979)^[1] is a French mathematician. Most of his work lies in the field of transportation theory. He is a CNRS senior researcher and a Professor in the mathematics and applications department of the École normale supérieure in Paris.^[2] He was awarded the CNRS Silver Medal in 2021.^[3]

Life and work

His work mainly focuses on applied mathematics, in particular on the imaging sciences and machine learning applications of optimal transport.^[4]

Gabriel Peyré is also the deputy director of the 3IA Paris Artificial Intelligence Research Institute^[5] as well as a member of the scientific committee of the ENS center for data science.^[6] He is also the creator of the Numerical tour of data science,^[7] a popular online repository of Python/Matlab/Julia/R resources to teach mathematical data sciences. He is a frequent collaborator of the INRIA team Mokaplan.^[8]

Awards and distinctions

Gabriel Peyré was awarded the Blaise Pascal Prize in 2017 from the Académie des sciences^[9] as well as the Enrico Magenes Prize (2019) from the Unione Matematica Italiana.^[10] He also was an invited speaker at the European Congress of Mathematics in 2020.^[11] His research was supported by an ERC starting grant in 2012 and by an ERC consolidator grant in 2017.^[12] In 2021, he was awarded the CNRS Silver Medal.

Major publications

• Benamou, J.-D., Carlier, G., Cuturi, M., Nenna, L., & Peyré, G. (2015). Iterative bregman projections for regularized transportation problems [Publisher: Society for Industrial and Applied Mathematics]. SIAM Journalon Scientific Computing, 37(2), A1111–A1138.^[13]
• Peyré, G., Bougleux, S., & Cohen, L. (2008). Non-local regularization of inverse problems. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer vision – ECCV 2008 (pp. 57–68). Springer.^[14]
• Peyré, G., & Cuturi, M. (2019). Computational optimal transport: With applications to data science [Publisher: Now Publishers, Inc.]. Foundations and Trends in Machine Learning, 11(5), 355–607.^[15]
• Rabin, J., Peyré, G., Delon, J., & Bernot, M. (2012). Wasserstein barycenter and its application to texture mixing. In A. M. Bruckstein, B. M. ter Haar Romeny, A. M. Bronstein, & M. M. Bronstein (Eds.), Scale spaceand variational methods in computer vision (pp. 435–446). Springer.^[16]
• Solomon, J., de Goes, F., Peyré, G., Cuturi, M., Butscher, A., Nguyen, A., Du, T., & Guibas, L. (2015). Convolutional wasserstein distances: Efficient optimal transportation on geometric domains. ACM Transactions on Graphics, 34(4), 66:1–66:11.^[17]

Notes and References

1. Web site: Peyré, Gabriel (1979-....). idref.fr. 19 July 2021.
2. Web site: Contact - Homepage of Gabriel Peyré. 24 March 2021. www.gpeyre.com.
3. Web site: Gabriel Peyré CNRS. 2022-01-17. www.cnrs.fr. fr.
4. Web site: [Webinar] Gabriel Peyré ran a Seminar@SystemX on June 17, 2020 IRT SystemX]. 4 March 2021. en-US.
5. Web site: 2019-09-26. Governance Prairie. 2021-03-24. en-GB.
6. Web site: Data @ ENS - ENS-CFM Data Science Chair. 2021-03-24. data-ens.github.io.
7. Web site: Numerical Tours - A Numerical Tour of Data Science. 24 March 2021. www.numerical-tours.com.
8. Web site: Mokaplan . Inria . 21 July 2011 . 25 May 2021.
9. Web site: Les prix de l'Académie des sciences 2017. 24 March 2021. www.academie-sciences.fr.
10. Web site: Premio "Enrico Magenes" – Sito dell'Unione Matematica Italiana. 2021-03-24. it-IT.
11. Web site: 8th European Congress of Mathematics. 24 March 2021. 8th European Congress of Mathematics.
12. Web site: NORIA - Homepage of Gabriel Peyré. 24 March 2021. www.gpeyre.com.
13. Iterative Bregman Projections for Regularized Transportation Problems. 2015 . 10.1137/141000439 . 2021-04-09. Benamou . Jean-David . Carlier . Guillaume . Cuturi . Marco . Nenna . Luca . Peyré . Gabriel . SIAM Journal on Scientific Computing . 37 . 2 . A1111–A1138 . 1412.5154 . 12631372 .
14. Book: Non-local regularization of inverse problems. 10.1007/978-3-540-88690-7_5 . https://link.springer.com/chapter/10.1007/978-3-540-88690-7_5. 2021-04-09. Computer Vision – ECCV 2008 . Lecture Notes in Computer Science . 2008 . Peyré . Gabriel . Bougleux . Sébastien . Cohen . Laurent . 5304 . 57–68 . 978-3-540-88689-1 . 1044368 .
15. Web site: Computational optimal transport: With applications to data science. 2021-04-09.
16. Book: Wasserstein barycenter and its application to texture mixing. 10.1007/978-3-642-24785-9_37 . https://hal.archives-ouvertes.fr/hal-00476064/file/TexturesECCV10.pdf. Scale Space and Variational Methods in Computer Vision . Lecture Notes in Computer Science . 2012 . Rabin . Julien . Peyré . Gabriel . Delon . Julie . Bernot . Marc . 6667 . 435–446 . 978-3-642-24784-2 . 3571438 .
17. Convolutional wasserstein distances: Efficient optimal transportation on geometric domains. 10.1145/2766963 . 54500200 . ACM Transactions on Graphics.