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<!DOCTYPE HTML>
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<title>Yohann DE CASTRO</title>
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my professional homepage!</a>
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<h1>Yohann De Castro</h1>
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<p> Full Professor at <b>Institut Camille Jordan</b>
<br>
Junior member at <b>Institut universitaire de France</b> (IUF)
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<!--<li><a href="research/cv_decastro.pdf" class="button">Curriculum Vitae</a></li>-->
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<h2>Latest news</h2>
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<article>
<ul>
<li>
[Sept. 2024] The article <a href="research/paper38.pdf">Exact recovery of the support of piecewise constant images via total variation regularization</a> with V. Duval and R. Petit has been accepted for publication in <b>Inverse Problems</b>.
</li>
<li
[July 2024] New paper <a href="research/paper41.pdf">Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems</a> with P.-C. Aubin-Frankowski, A. Parmentier, and Alessandro Rudi.
</li>
<li>
[July 2024] New paper <a href="research/paper40.pdf">Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test</a> with J.-M. Azaïs and F. Dalmao.
</li>
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<h2>Quick Overview</h2>
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<h3>Activities</h3>
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<!--<li>Researcher in Statistics; Inverse Problems; Machine Learning; Signal Processing;</li>-->
<li> Responsable élu du site École Centrale Lyon de l'Institut Camille Jordan;
À ce titre, membre statutaire du conseil de laboratoire de l'Institut Camille Jordan et membre statutaire du comité de direction de l'École Centrale Lyon.</li>
<li> Chercheur associé au CERMICS, École Ponts ParisTech;</li>
<li> Collaborateur externe de l'équipe <a href="https://team.inria.fr/ockham/team-members/">OCKHAM, INRIA Lyon</a>;</li>
<li> Membre élu du conseil scientifique de l'École Centrale Lyon; </li>
<li> Membre nommé du conseil scientifique de l'Institut Camille Jordan;</li>
<li> Membre élu du conseil du Département Maths-Info de l'École Centrale Lyon;</li>
<li> Membre du bureau <a href="https://perso.ens-lyon.fr/aurelien.garivier/external.html?link=http://scidolyse.ens-lyon.fr/">SciDoLySE: Science des Données à Lyon et Saint-Etienne.</a> </li>
<li> Membre nommé du conseil des thèses de l'École Centrale Lyon;</li>
<!--!<li> Principal Investigator of IDEX Grant IMPULSION (2021);</li>-->
<li> Membre des ANR JCJC "CIPRESSI", "PIECES" et "GrandMa";</li>
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<!--<li>Course on Statistics (1A @ECL & 1A @Centrale Casablanca);</li>-->
<li>Course on Machine Learning (2A @ELC);</li>
<li>Course on Convexity and Parsimony (3A @ECL joint with Master 2 MeA (Lyon 1))</li>
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<h2>Research</h2>
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<p>My (almost complete list of) publications can be found on this <a href="https://haltools.archives-ouvertes.fr/Public/afficheRequetePubli.php?auteur_exp=yohann%2C+de+castro&typdoc=(%27ART%27,%27COMM%27,%27POSTER%27,%27OUV%27,%27COUV%27,%27DOUV%27,%27PATENT%27,%27HDR%27)&CB_auteur=oui&CB_titre=oui&CB_article=oui&CB_typdoc=oui&CB_vignette=oui&langue=Anglais&tri_exp=typdoc&tri_exp2=annee_publi&tri_exp3=date_publi&ordre_aff=TA&Fen=Aff&css=../css/VisuOmbreVignettes.css" class="button primary small" target=”_blank”>list of publications (type and year)</a>
<!---
<a href=" http://arxiv.org/a/decastro_y_1" class="button primary small">ArXiv</a>
--->
</p>
<p>I provide below of list of publications by subjects (Sparse models & Mathematical Statistics)</a>
<!---
<a href=" http://arxiv.org/a/decastro_y_1" class="button primary small">ArXiv</a>
--->
</p>
<!---
<h2>Papers & Proceedings</h2>
--->
<h3>Sparse models: High-Dimension (L1); Measures (TV); Variational (TV gradient)</h3>
<ul>
<li>
<a href="research/paper40.pdf">Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test</a> with J.-M. Azaïs and Federico Dalmao, under review.
<li>
<a href="research/paper39.pdf">FastPart: Over-Parameterized Stochastic Gradient Descent
for Sparse optimisation on Measures</a> with S. Gadat and C. Marteau, under review.
</li>
<li>
<a href="research/paper38.pdf">Exact recovery of the support of piecewise constant images via
total variation regularization</a> with V. Duval and R. Petit, to appear in <b>Inverse Problems</b>, 2024.
</li>
<li><a href="research/paper36.pdf">SIGLE: valid Selective Inference procedure for Generalized Linear Lasso</a>,
with Q. Duchemin, arXiv, 2023.</li>
<li><a href="research/paper32.pdf">Towards off-the-grid algorithms for total variation regularized inverse problems</a>,
with R. Petit & V. Duval, Proceedings of the eighth international conference on Scale Space and Variational Methods in computer vision (SSVM), Pages 553--564, 2021;
and published in Journal of Mathematical Imaging and Vision, 2022 (extended version).
<a href="https://github.com/rpetit/tvsfw" class="button small">GitHub Repository</a>
</li>
<li><a href="research/paper29.pdf">Dual optimal design and the Christoffel-Darboux polynomial</a> with F. Gamboa & D. Henrion & J.-B. Lasserre,
Optimization Letters, 2021, Vol. 15, 3-8.</li>
<li><a href="research/paper26.pdf">SuperMix: Sparse Regularization for Mixtures</a>,
with S. Gadat & C. Marteau & C. Maugis-Rabusseau, <b>Annals of Statistics</b>, 2021, Vol. 49, No. 3, 1779-1809.</li>
<li><a href="https://academic.oup.com/imaiai/advance-article/doi/10.1093/imaiai/iaac018/6711418?guestAccessKey=0f8404f7-632a-423d-aafc-fc0c408352fc">Multiple Testing and Variable Selection along Least Angle Regression's path</a>,
with J-M Azaïs, <b>Information & Inference: A Journal of the IMA</b>, 2022.
<a href="https://ydecastro.github.io/lar_testing/" class="button small">GitHub Repository</a></li>
<li><a href="research/paper24.pdf">A Short Introduction to “Moment-SoS Hierarchies”</a>,
<b>Deuxième Congès National de la SMF</b>, 2018.</li>
<li><a href="research/paper23.pdf">On Representer Theorems and Convex Regularization</a>, with C. Boyer & A. Chambolle & V. Duval & F. de Gournay & P. Weiss,
<b>SIAM Journal on Optimization</b>, 29(2), 1260–1281. A related conference paper published at <b>iTWIST'18</b> is
<a href="research/paper23b.pdf">Convex Regularization and Representer Theorems</a>, with C. Boyer & A. Chambolle & V. Duval & F. de Gournay & P. Weiss.</li>
<li><a href="research/paper21.pdf">Testing Gaussian Process with Applications to Super-Resolution</a>, with J.-M. Azaïs & S. Mourareau,
<b>Applied and Computational Harmonic Analysis</b>, Volume 48, Pages 445-481, 2020.
<a href="https://ydecastro.github.io/super-resolution-testing/" class="button small">GitHub Repository</a></li>
<li><a href="research/paper20.pdf">Approximate Optimal Designs for Multivariate Polynomial Regression</a> with F. Gamboa & D. Henrion & R. Hess & J.-B. Lasserre,
<b>Annals of Statistics</b>, Volume 47, Issue 1, Pages 127–155, 2019.
<a href="https://ydecastro.github.io/optimal-design-sum-of-squares/" class="button small">Matlab Code</a>
<br> Extended version of <a href="research/paper19.pdf">D-Optimal Design for Multivariate Polynomial Regression via the Christoffel function and Semidefinite Relaxations</a>, with F. Gamboa & D. Henrion & R. Hess & J.-B. Lasserre,
arXiv 1703.01777.</li>
<li><a href="research/paper16.pdf">Sparse Recovery from Extreme Eigenvalues Deviation Inequalities</a>, with S. Dallaporta,
<b>ESAIM P&S</b>, Volume 23, Pages 430-463, 2019.</li>
<li><a href="research/paper14.pdf">Adapting to Unknown Noise Level in Sparse Deconvolution</a>, with C. Boyer & J. Salmon,
<b>Information & Inference: A Journal of the IMA</b>, Volume 6, Issue 3, 1 September 2017, Pages 310–348.</li>
<li><a href="research/paper13.pdf">Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions</a>, with F. Gamboa & D. Henrion & J.-B. Lasserre,
<b>IEEE Transactions on Information Theory</b>, Volume 63, Issue 1, Jan. 2017, Pages 621-630.
<a href="https://ydecastro.github.io/total-variation-sum-of-squares/" class="button small">Matlab Code</a></li>
<li><a href="research/paper12.pdf">Power of the Spacing test for Least-Angle Regression</a>, with J.-M. Azaïs & S. Mourareau,
<b>Bernoulli Journal</b>, Volume 24 n°1 (2018), Pages 465-492.</li>
<li><a href="research/paper10.pdf">Randomized pick-freeze for sparse Sobol indices estimation in high dimension</a>, with A. Janon,
<b>ESAIM P&S</b>, Volume 19, 2015, Pages 725-745.</li>
<li><a href="research/paper9.pdf">Non-uniform spline recovery from small degree polynomial approximation</a>, with G. Mijoule,
<b>Journal of Mathematical Analysis and Applications</b>, Volume 430, Issue 2, 15 October 2015, Pages 971–992.</li>
<li><a href="research/paper7.pdf">A Rice method proof of the Null-Space Property over the Grassmannian</a>, with J.-M. Azaïs & S. Mourareau,
<b>Annales de l’Institut Henri Poincaré</b>, Probabilités et Statistiques, Volume 53, Number 4 (2017), Pages 1821-1838.</li>
<li><a href="research/paper5.pdf">Spike Detection from Inaccurate Samplings</a>, with J.-M. Azaïs & F. Gamboa,
<b>Applied and Computational Harmonic Analysis</b>, Volume 38, Issue 2, March 2015, Pages 177–195.</li>
<li><a href="research/paper4.pdf">Exact Reconstruction using Beurling Minimal Extrapolation</a>, with F. Gamboa,
<b>Journal of Mathematical Analysis and Applications</b>, Volume 395, Issue 1, Nov. 2012, Pages 336-354.</li>
<li><a href="research/paper3.pdf">A remark on the lasso and the Dantzig selector</a>,
<b>Statistics & Probability Letters</b>, Volume 83, Issue 1, January 2013, Pages 304-314.</li>
<li><a href="research/paper2.pdf">Optimal designs for Lasso and Dantzig selector using Expander Codes</a>,
<b>IEEE Transactions on Information Theory</b>, Volume 60, Issue 11, Nov. 2014, Pages 7293-7299.</li>
</ul>
<h3>Mathematical Statistics, Learning, and Applications</h3>
<ul>
<li>
<a href="research/paper41.pdf">Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems</a> with P.-C. Aubin-Frankowski, A. Parmentier, and Alessandro Rudi.
</li>
<li>
<a href="research/paper37.pdf">Neural Networks beyond explainability: Selective inference for sequence motifs</a>, with A. Villié, P. Veber, and L. Jacob, <b>Transactions on Machine Learning Research (TMLR)</b>, 06/2023. <a href="https://openreview.net/forum?id=nddEHTSnqg" class="button small">OpenReview</a>
</li>
<li><a href="research/paper34.pdf">Minimax Estimation of Partially-Observed Vector AutoRegressions</a>,
with G. Dalle, arXiv:2106.09327, submitted, 2021.</li>
<li><a href="research/paper31.pdf">Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)</a>, with L. Mencarelli,
arXiv:2102.05314, 2021.</li>
<li><a href="research/paper33.pdf">Random Geometric Graph: Some recent developments and perspectives</a>,
with Q. Duchemin, accepted for publication at the proceedings of the <b>High Dimensional Probability IX Conference</b>, Progress in Probability series.</li>
<li><a href="https://www.jmlr.org/papers/volume23/21-0819/21-0819.pdf">Three rates of convergence or separation via U-statistics in a dependent framework</a>,
with Q. Duchemin and C. Lacour, <b>Journal of Machine Learning Research</b>, Volume 23, Issue 201, Pages 1-59, 2022.</li>
<li><a href="research/paper30.pdf">Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains</a>, with Q. Duchemin and C. Lacour, <b>Bernoulli Journal</b>, 2022 (to appear).</li>
<li><a href="research/paper28.pdf">Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks</a>,
with Q. Duchemin, <b>Electronic Journal of Statistics</b>, Volume 16, Pages 671-699, 2022.</li> <a href="https://github.com/quentin-duchemin/Markovian-random-geometric-graph#readme" class="button small">GitHub Repository</a>
<li><a href="research/paper27.pdf">Latent distance estimation for random geometric graphs</a>, with E. Araya,
<b>NeurIPS 2019</b>.</li>
<li><a href="research/paper22.pdf">Adaptive Estimation of Nonparametric Geometric Graphs</a>, with C. Lacour & T. M. Pham Ngoc,
<b>Mathematical Statistics and Learning</b>, 2020 (to appear).</li>
<li><a href="research/paper18.pdf">Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction</a>, with J-M Azaïs & Y. Goude & G. Hébrail & J. Mei,
<b>IEEE Transactions on Knowledge and Data Engineering</b>, Volume 31, Issue 3, March 1, Pages 493-506, 2019.</li>
<li><a href="research/paper17.pdf">Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates</a>, with J-M Azaïs & Y. Goude & G. Hébrail & J. Mei,
<b>Proceedings of the 34th International Conference on Machine Learning (ICML 2017)</b>, PMLR 70:2382-2390, 2017.</li>
<li><a href="research/paper15.pdf">Reconstructing undirected graphs from eigenspaces</a>, with T. Espinasse & P. Rochet,
<b>Journal of Machine Learning Research</b>, Volume 18, Issue 51, Pages 1−24, 2017.</li>
<li><a href="research/paper8.pdf">Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models</a>, with É. Gassiat & S. Le Corff,
<b>IEEE Transactions on Information Theory</b>, Volume 63, Issue 8, Aug. 2017, Pages 4758-4777. </li>
<li><a href="research/paper11.pdf">Minimax adaptive estimation of non-parametric Hidden Markov Models</a>, with É. Gassiat & C. Lacour,
<b>Journal of Machine Learning Research</b>, Volume 17, Issue 111, Pages 1-43, 2016.
<a href="https://github.com/ydecastro/nonparametric-hmm" class="button small">Matlab Codes</a></li>
<li><a href="research/paper6.pdf">Estimating the transition matrix of a Markov chain observed at random times</a>, with F. Barsotti & T. Espinasse & P. Rochet,
<b>Statistics & Probability Letters</b>, Volume 94, November 2014, Pages 98-105.</li>
<li><a href="research/paper1.pdf">Quantitative Isoperimetric Inequalities on the Real Line</a>,
<b>Annales Mathématiques Blaise Pascal</b>, Volume 18 n°2 (2011), Pages 311-331.</li>
</ul>
<!--
<h2>Co-Workers</h2>
<p>
<a href="http://www.math.univ-toulouse.fr/%7Eazais/">Jean-Marc Azaïs</a>;
Flavia Barsotti;
<a href="http://www.math.univ-toulouse.fr/~cboyer/">Claire Boyer</a>;
<a href="http://www.cmap.polytechnique.fr/~antonin/">Antonin Chambolle</a>;
<a href="http://dallaporta.perso.math.cnrs.fr/">Sandrine Dallaporta</a>;
<a href="https://who.rocq.inria.fr/Vincent.Duval/">Vincent Duval</a>;
<a href="http://math.univ-lyon1.fr/homes-www/espinasse">Thibault Espinasse</a>;
<a href="https://perso.math.univ-toulouse.fr/gadat/">Sébastien Gadat</a>;
<a href="http://www.math.univ-toulouse.fr/%7Egamboa/">Fabrice Gamboa</a>;
<a href="http://www.math.u-psud.fr/~gassiat/">Élisabeth Gassiat</a>;
<a href="https://frederic.degournay.fr/">Frédéric de Gournay</a>;
Yannig Goude;
Georges Hébrail;
<a href="http://homepages.laas.fr/henrion/">Didier Henrion</a>;
Roxana Hess;
<a href="http://www.math.u-psud.fr/~janon/">Alexandre Janon</a>;
<a href="http://www.math.u-psud.fr/~lacour/">Claire Lacour</a>;
<a href="http://homepages.laas.fr/lasserre/">Jean-Bernard Lasserre</a>;
<a href="http://www.math.u-psud.fr/~lecorff/">Sylvain Le Corff</a>;
<a href="http://math.univ-lyon1.fr/~marteau/">Clément Marteau</a>;
<a href="https://perso.math.univ-toulouse.fr/maugis/">Cathy Maugis-Rabusseau</a>;
Jiali Mei;
<a href="https://sites.google.com/site/guillaumemijoule/home">Guillaume Mijoule</a>;
Stéphane Mourareau;
<a href="https://www.math.u-psud.fr/~phamngoc/">Thanh Mai Pham Ngoc</a>;
<a href="http://www.math.sciences.univ-nantes.fr/~rochet/" title="Paul Rochet">Paul Rochet</a>;
<a href="http://josephsalmon.eu/">Joseph Salmon</a>;
<a href="https://www.math.univ-toulouse.fr/~weiss/">Pierre A. Weiss</a>;
</p>
<h2>Talks & Lectures</h2>
<p>Recent talks are available at <a href="https://speakerdeck.com/ydecastro" class="button primary small">Speaker Deck</a>
</p>
-->
<!-- <p>
<h3>Recently</h3>
<ul>
<li>Séminaire d'Informatique de l'École Normale Supérieure, Lyon.</li>
<li>Séminaire de Probabilités de l'École Normale Supérieure, Lyon.</li>
<li>Groupe de Travail "Gaussian Process" Université Jean Monnet, St-Étienne.</li>
<li>Séminaire de Probabilités de Lille.</li>
<li>Séminaire de Probabilités et Statistique de Liège.</li>
<li>Séminaire de Probabilités et Statistique de Versailles, LMV.</li>
<li>Séminaire de Statistique de Toulouse, IMT.</li>
<li>Groupe de Travail "Sequential Structured Statistical Learning", IHES.</li>
<li>Cambridge Statistics Seminar, Cambridge, UK.</li>
<li>Séminaire de Probabilités de l'École Nationale Supérieure de Techniques Avancées, Palaiseau.</li>
<li>Séminaire de Probabilités et Statistique de Nanterre, Modal'X.</li>
<li>Séminaire de Probabilités de Rennes, IRMAR.</li>
<li>2015 Saint Flour summer school.</li>
<li><a href="http://math.univ-lyon1.fr/~fougeres/rsl.html">Rencontres Statistique Lyonnaises</a>.</li>
<li>Séminaire du CREST, ENSAE.</li>
</ul>
<h3>Ante</h3>
<ul><li>Course in <a href="workshops/2014montevideo/Spring-Summer-School-Montevideo.html">Summer school on Random processes, Rice Formulas in relation with compressed sensing and sensibilty analysis</a>, Centro de Matemáticas, Montevideo, Uruguay.</li>
<li><a href="talks/seminaire_IHP.pdf">Slides "Direct proof of NSP"</a> for the <a href="https://sites.google.com/site/semstats/">Séminaire Parisien de Statistique</a>, Institut Henri Poicaré, France.
</li>
<li>
<a href="talks/2014_05_Cargese.pdf">Slides</a> for <a href="http://hdpvii.gatech.edu/">High Dimensional Probability VII</a>, Institut d'Études Scientifiques de Cargèse, Cargèse, France.
</li>
<li>
<a href="talks/X_2014_02.pdf">Slides</a> for <a href="http://www.cmap.polytechnique.fr/spip.php?page=semproba">Séminaire Aléa du CMAP</a>, Polytechnique, Palaiseau, France.
</li>
<li>
<a href="talks/CMLA_2014_02.pdf">Slides</a> for <a href="http://www.cmla.ens-cachan.fr/version-francaise/manifestations/seminaire-du-cmla-un-resultat-de-localisation-de-diracs-a-partir-de-peu-de-basses-frequences-bruitees-237820.kjsp?RH=DL_CMLA-FR">Séminaire du CMLA</a>, ENS Cachan, Cachan, France.
</li>
<li>
<a href="http://www.cmat.edu.uy/cmat/eventos/ww/programa">Wschebor Workshop</a> and <a href="http://www.cmat.edu.uy/cmat/eventos/9erpem">9no Encuentro Regional de Probabilidad y Estadística Matemática</a>, Maldonado, Uruguay.
</li>
<li><a href="talks/ICCOPT_DECASTRO_31_07_2013.pdf">Slides "Spike localization from inaccurate samplings"</a> for the <a href="http://eventos.fct.unl.pt/iccopt2013">International Conference on Continuous Optimization</a>, Lisbon, Portugal.
</li>
<li>Workshop on <a href="http://www.gdr-mascotnum.fr/mai13.html">Dimension Reduction of the GDR Mascot-Num</a>, Institut Henri Poincaré, Paris, France.</li>
<li>Mini-course in <a href="workshops/2013cuba/Spring-Summer-School-HABANA.html">Spring-Summer School on Inverse Problems, Spectral Analysis and Time series</a>, Universidad de la Habana, Cuba.</li>
<li>Workshop on Signal Processing, Université Paris Dauphine, France.</li>
<li><a href="talks/CIRM_DECASTRO_12_2012.pdf">Slides "Expander Designs"</a> for <a href="http://www.cirm.univ-mrs.fr/Site_test/spip.php?rubrique2&EX=info_rencontre&annee=2012&id_renc=809">Nonparametric and high-dimensional Statistics</a>, CIRM (Luminy), France.</li>
<li>
<a href="https://sites.google.com/site/smileinparis/past-seminars-2012---13">SMILE seminar</a>, Paris, France.
</li>
<li>
<a href="http://jds2012.ulb.ac.be/">Journées de Statistiques</a>, Bruxelles, Belgique.
</li>
<li>Monthly seminar of statistics of Lyon, Lyon, France.
</li>
<li>Seminar of the Mathematics department of the University Paris-Sud, Orsay, France.</li>
<li>Seminar of the Laboratory Jean Kuntzmann, Grenoble, France.</li>
<li>Seminar of ENSAE, Malakov, France.</li>
<li>
<a href="talks/StFlour_DECASTRO_07_2011.pdf">Slides "Super-resolution"</a> for <a href="http://math.univ-bpclermont.fr/stflour/">École d'été de St-Flour</a>, St-Flour, France.
</li>
<li>
Lecture on Compressed Sensing during the summer school "Sparsity and Model selection" of the IFUM, Montevideo, Uruguay.
</li>
</ul>
</p>-->
</section>
<!-- Section -->
<section>
<header id="phd" class="major">
<h2>Ph.D. Sutdents</h2>
</header>
<div class="row">
<!--<div class="col-6 col-12-small">-->
<!-- <h3>Position</h3>-->
<!-- <p>Nunc lacinia ante nunc ac lobortis. Interdum adipiscing gravida odio porttitor sem non mi integer non faucibus ornare mi ut ante amet placerat aliquet. Volutpat commodo eu sed ante lacinia. Sapien a lorem in integer ornare praesent commodo adipiscing arcu in massa commodo lorem accumsan at odio massa ac ac. Semper adipiscing varius montes viverra nibh in adipiscing blandit tempus accumsan.</p>-->
<!--</div>-->
<!--<div class="col-6 col-12-small">-->
<!--<h3>Ph.D. Students</h3>-->
<ul>
<li>
<b>Romane GIARD</b> (ECL, Starting October 2024) with Clément Marteau; Towards optimal statistical bounds and algorithms for Unsupervised Learning;
</li>
<li><b>Antoine SIMOES</b> (CDSN ENS Lyon, Starting September 2022) with Joseph Salmon; High-Dimensional Statistics and MCP methods;</li>
<li><b>Martin GJORGJEVSKI</b> (ANR GrandMa, Starting September 2022) with Nicolas Keriven and Simon Barthelmé; Signal on Graphs;</li>
<li><b>Ahmed EL RAFY</b> (CIFRE, Starting September 2022) with Marc Jacob; ML for Acoustic and Fluids Mechanics modeling;</li>
<li><b><a href="https://gdalle.github.io/">Guillaume DALLE</a></b> (IPEF, 2019-2022) with Axel Parmentier; OR and ML; Now Post-Doc at EPFL;</li>
<li><b><a href="http://quentin-duchemin.alwaysdata.net/">Quentin DUCHEMIN</a></b> (DIM Math Innov, 2019-2022) with Claire Lacour; Random Graphs and Post-Selection Inference; Now Post-Doc at SDSC (EPFL);</li>
<li><b><a href="https://rpetit.github.io/">Romain PETIT</a></b> (DIM Math Innov, 2019-2022) with Vincent Duval; Off-the-grid methods; Now Post-Doc at ML Genova Center (MaLGa);</li>
<li><b>Antoine VILLIÉ</b> (LBBE, 2019-2022) with Laurent Jacob; Kernel Post-Selection Inference;</li>
<li><b>Ernesto ARAYA</b> (Orsay grant, 2017-2020); Random Graphs; Now Post-Doc at INRIA Lille;</li>
<li><b>Jiali MEI</b> (ÉDF CIFRE, 2014-2017) with Jean-Marc Azaïs, Yannig Goude and Georges Hébrail;
"<i>Time series recovery and prediction with regression-enhanced nonnegative matrix factorization applied to electricity consumption</i>";
Prix Paul Caseau de l'académie des sciences, 2018;
Now Senior Researcher at Shift Technology, a french unicorn.
</li>
<!--<li><b>Jérôme Alexis CHEVALIER</b> (Started in 2017) with Joseph Salmon and Bertrand Thirion; Statistical Learning.-->
<!--</li>-->
</ul>
<!--</div>-->
</div>
<header id="duty" class="major">
<h2>Post-Docs</h2>
</header>
<div class="row">
<ul>
<li> Nicolas Jouvin (2021), Sparse regularization on measures.
Now Chargé de Recherche @INRAE;</li>
</li>
<li>
Luca Mencarelli (2018-2020), Matrix factorization for Time Series;
</li>
<li>
Guillaume Mijoule (2018-2019), Semi-dicreste Optimal Transport. Now Data Scientist in Paris Greater Area.
</li>
</ul>
</div>
</section>
<!-- Section -->
<section>
<header id="teaching" class="major">
<h2>Teaching</h2>
</header>
<p>
My office hours are on Monday 1pm-3pm room E6203.
</p>
<p>
<ul>
<li>
<b>Machine Learning</b> (2nd year -- Master 1), more detail at <a href="http://machine-learning-centrale.github.io">machine-learning-centrale.github.io </a>.
</li>
<li>
<b>Convexity and Parsimony</b> (3rd year -- Master 2) more detail at <a href="http://statistical-learning-centrale.github.io">statistical-learning-centrale.github.io </a>.
</li>
</ul>
</p>
</section>
<!-- Section -->
<section>
<header id="vitae" class="major">
<h2>Vitae</h2>
</header>
<div class="table-wrapper">
<table>
<tbody>
<tr>
<td>Spring 2023</td>
<td>Promoted first class Professor (say, Full Professor) by CNU (French Applied Mathematicians peers)</td>
<td>
<tr>
<td>2022 - 2027</td>
<td>Junior member of <a href="https://www.iufrance.fr/">Institut universitaire de France</a></td>
</tr>
<tr>
<td>Since 2019</td>
<td>Professor at <a href="http://math.univ-lyon1.fr/">Institut Camille Jordan</a>, École Centrale Lyon</td>
</tr>
<tr>
<td>2018-2019</td>
<td>Permanent Senior Researcher at <a href="https://cermics-lab.enpc.fr/">CERMICS</a>, École Ponts ParisTech</td>
</tr>
<tr>
<td>2017-2018</td>
<td>Invited Researcher at Inria Paris, MOKAPLAN Team</td>
</tr>
<tr>
<td>Nov. 2016</td>
<td><a href="research/hdr.pdf">H.D.R</a> (say, Associate/tenured Professorship *degree*)
</td>
</tr>
<tr>
<td>2012-2016</td>
<td> Maître de Conférences at <a href="https://www.math.u-psud.fr/">Institut de Mathématique d'Orsay</a></td>
</tr>
<tr>
<td>Dec. 2011</td>
<td><a href="research/thesis.pdf">Ph.D. thesis</a></td>
</tr>
<td>2008-2012</td>
<td>Ph.D. at <a href="http://www.math.univ-toulouse.fr/">Institut de Mathématiques de Toulouse</a> with J.-M. Azaïs and F. Barthe</td>
</tr>
<tr>
<td>2004-2009</td>
<td>Student at <a href="http://www.ens.fr/">École Normale Supérieure</a></td>
<td></td>
</tr>
</tbody>
</table>
</div>
</section>
<!-- Section -->
<section>
<header id="contact" class="major">
<h2>Contact</h2>
</header>
<ul class="contact">
<li class="fa-envelope-o"><a href="#">[email protected]</a></li>
<li class="fa-phone">+33 (0)4 72 18 67 90 </li>
<li class="fa-home">
Institut Camille Jordan
<br>
École Centrale de Lyon
<br>
36 Avenue Guy de Collongue
<br>
69134 Écully, France
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