lchizat.github.io

Lénaïc Chizat

PhD Student at DMA, École Normale Supérieure. Supervised by G. Peyré. And F-X. Vialard. Applied mathematics: convex analysis, variational problems and optimisation algorithms. So far, I have mostly worked on extensions of the optimal transport problem. C, Peyré, Schmitzer, Vialard, Unbalanced optimal transport: geometry and Kantorovich formulation, Preprint (ArXiv link). Scaling Algorithms for Unbalanced Transport Problems, Preprint (ArXiv link). Page generated 2016-10-30 01:27:10 CEST, by jemdoc.

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Lénaïc Chizat | lchizat.github.io Reviews

<META> DESCRIPTION

PhD Student at DMA, École Normale Supérieure. Supervised by G. Peyré. And F-X. Vialard. Applied mathematics: convex analysis, variational problems and optimisation algorithms. So far, I have mostly worked on extensions of the optimal transport problem. C, Peyré, Schmitzer, Vialard, Unbalanced optimal transport: geometry and Kantorovich formulation, Preprint (ArXiv link). Scaling Algorithms for Unbalanced Transport Problems, Preprint (ArXiv link). Page generated 2016-10-30 01:27:10 CEST, by jemdoc.

<META> KEYWORDS

1 lénaïc chizat

2 curriculum

3 talks

4 member of mokaplan

5 inria team

6 lenaic chizat@ens fr

7 git hub repository

8 research interests

9 submitted for publication

10 publications

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lénaïc chizat,curriculum,talks,member of mokaplan,inria team,lenaic chizat@ens fr,git hub repository,research interests,submitted for publication,publications

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Lénaïc Chizat | lchizat.github.io Reviews

https://lchizat.github.io

PhD Student at DMA, École Normale Supérieure. Supervised by G. Peyré. And F-X. Vialard. Applied mathematics: convex analysis, variational problems and optimisation algorithms. So far, I have mostly worked on extensions of the optimal transport problem. C, Peyré, Schmitzer, Vialard, Unbalanced optimal transport: geometry and Kantorovich formulation, Preprint (ArXiv link). Scaling Algorithms for Unbalanced Transport Problems, Preprint (ArXiv link). Page generated 2016-10-30 01:27:10 CEST, by jemdoc.

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lchizat.github.io

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Lénaïc Chizat

http://lchizat.github.io/index.html

PhD Student at DMA, École Normale Supérieure. And Paris Dauphine (PSL research University). Supervised by G. Peyré. And F-X. Vialard. Convex analysis, variational problems and optimization algorithms. I am interested in applications in the analysis of evolution PDEs, in machine learning and in signal processing. My main focus during my PhD is on some extensions of the optimal transport problem. C, Peyré, Schmitzer, Vialard, Unbalanced optimal transport: geometry and Kantorovich formulation.

2

Curriculum Vitae

http://lchizat.github.io/curriculum.html

I was born in 1990 and grew up in the midst of the beautiful hills of Beaujolais. I have started a PhD in applied mathematics in November 2014. 2014 - ENS Cachan. Graduated from MVA master program: mathematics, vision, machine learning. 2013 - École des Mines. Degree of science and executive engineering (major: industrial organisation). Seismological laboratory, exchange program of 6 months (inverse problems for earth structure tomography). 2014 - IFP-Énergies nouvelles (Rueil, France).

3

Talks

http://lchizat.github.io/talks.html

I have been leading the organization of the 2nd Young researchers summer school. For PhD students of CEREMADE in september 2016. It gathered 16 participants during 1 week. I was organizing the Weekly seminar. For PhD and Post-doc students at CEREMADE for the year 2015-2016, with Maxime Laborde. 06/2015 Seminar “Images et statistiques” (Ceremade, Paris). 11/2015 2nd Mokalien conference. 01/2016 “Journée du Ceremade. Rdquo; (yearly meeting of the lab). 04/2016 SMAI - MODE. 07/2016 3rd Mokalien conference.

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gpeyre.github.io

Σ-Vision - Homepage of Gabriel Peyré

http://gpeyre.github.io/sigma-vision

Σ-Vision (Sparsity, Image and Geometry to Model Adaptively Visual Processings) is a research group financed by the ERC. Theme 1 - Theoretical guarantees for sparse regularization. We analyze theoritically the performances of various kind of sparse regularizations in the framework of imaging problems (super-resolution, tomography, compressed sensing, etc.). The goal is to design data-dependent criteria that take into account the geometry of the signal and its interaction with the imaging operator.

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lchizat.github.io

Lénaïc Chizat

PhD Student at DMA, École Normale Supérieure. Supervised by G. Peyré. And F-X. Vialard. Applied mathematics: convex analysis, variational problems and optimisation algorithms. So far, I have mostly worked on extensions of the optimal transport problem. C, Peyré, Schmitzer, Vialard, Unbalanced optimal transport: geometry and Kantorovich formulation, Preprint (ArXiv link). Scaling Algorithms for Unbalanced Transport Problems, Preprint (ArXiv link). Page generated 2016-10-30 01:27:10 CEST, by jemdoc.

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