Gabriel Peyré
Gabriel Peyré | |
---|---|
Nationality | French |
Awards | Blaise Pascal Prize (2017) of the Académie des sciences Enrico Magenes Prize (2019) of the Unione Matematica Italiana |
Scientific career | |
Fields | Applied mathematics |
Institutions | ENS and CNRS |
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]
Life and work[]
His work mainly focuses on applied mathematics, in particular on the imaging sciences and machine learning applications of optimal transport.[3]
Gabriel Peyré is also the deputy director of the 3IA Paris Artificial Intelligence Research Institute[4] as well as a member of the scientific committee of the ENS center for data science.[5] He is also the creator of the Numerical tour of data science,[6] 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.[7]
Awards and Distinctions[]
Gabriel Peyré was awarded the Blaise Pascal Prize in 2017 from the Académie des sciences[8] as well as the Enrico Magenes Prize (2019) from the Unione Matematica Italiana.[9] He also was an invited speaker at the European Congress of Mathematics in 2020.[10] His research was supported by an ERC starting grant in 2012 and by an ERC consolidator grant in 2017.[11]
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.[12]
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.[13]
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.[14]
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.[15]
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.[16]
References[]
- ^ "Peyré, Gabriel (1979-....)". idref.fr. Retrieved 19 July 2021.
- ^ "Contact - Homepage of Gabriel Peyré". www.gpeyre.com. Retrieved 24 March 2021.
- ^ "[Webinar] Gabriel Peyré ran a Seminar@SystemX on June 17, 2020 | IRT SystemX". Retrieved 4 March 2021.
- ^ "Governance | Prairie". 26 September 2019. Retrieved 24 March 2021.
- ^ "Data @ ENS - ENS-CFM Data Science Chair". data-ens.github.io. Retrieved 24 March 2021.
- ^ "Numerical Tours - A Numerical Tour of Data Science". www.numerical-tours.com. Retrieved 24 March 2021.
- ^ "Mokaplan". Inria. 21 July 2011. Retrieved 25 May 2021.
- ^ "Les prix de l'Académie des sciences 2017". www.academie-sciences.fr. Retrieved 24 March 2021.
- ^ "Premio "Enrico Magenes" – Sito dell'Unione Matematica Italiana" (in Italian). Retrieved 24 March 2021.
- ^ "8th European Congress of Mathematics". 8th European Congress of Mathematics. Retrieved 24 March 2021.
- ^ "NORIA - Homepage of Gabriel Peyré". www.gpeyre.com. Retrieved 24 March 2021.
- ^ "Iterative Bregman Projections for Regularized Transportation Problems". Retrieved 9 April 2021.
- ^ "Non-local regularization of inverse problems". Retrieved 9 April 2021.
- ^ "Computational optimal transport: With applications to data science". Retrieved 9 April 2021.
- ^ "Wasserstein barycenter and its application to texture mixing".
- ^ "Convolutional wasserstein distances: Efficient optimal transportation on geometric domains".
External links[]
- Gabriel Peyré publications indexed by Google Scholar
- Applied mathematicians
- Living people
- French mathematicians
- 1979 births
- Mathematician stubs