Clément Lalanne

News

• * January 2025 The preprint for our new paper On the Private Estimation of Smooth Transport Maps (Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor) is now available. Check it out!
• * January 2025 The preprint for our new paper Learning with Differentially Private (Sliced) Wasserstein Gradients (David Rodríguez-Vítores, Clément Lalanne, Jean-Michel Loubes) is now available. Read it now!
• * September 2024 I am thrilled to announce that I started a new position as a Maître de Conférences (french equivalent of Assistant Professor) at Université Toulouse 3 Paul Sabatier in Applied Mathematics. I will be pursuing my research within the Statistics and Optimization team of the Institut de Mathématiques de Toulouse.
• * July 2024 What a week at ICML 2024 in Vienna, Austria where I presented a poster for our article Privately Learning Smooth Distributions on the Hypercube by Projections. Congratulations to the researchers for the high level of the presentations and to the organization team.
  
  
• * May 2024 Our article Privately Learning Smooth Distributions on the Hypercube by Projections just got accepted to the 41st International Conference on Machine Learning. Looking forward to present our work in Vienna. Huge thanks to my coauthor Sébastien Gadat, and to the reviewers for the useful inputs and suggestions.
• 📰 News Archive

Publications

Teaching

• * Mathematical Methods for Supervised Learning (M1 SID University of Toulouse) : Course 2024-2025.
• * Mathematics of Machine Learning (M2 MAPI3 University of Toulouse) : Course 2024-2025, Projects 2024-2025.
• * 2022-2023 Competitive Programming (L3 ENS Lyon) : On site, room E001. Materials on the Discord server. If you need an invide, reach out to me directly.
  Some other useful information may be found on the other lecturers' pages: Eric Thierry, Le Quoc Tung, Julien Duron and Redouane Elghazi.
• * 2022-2023 Optimization (M1 ENS Lyon) : On site, rooms B1 and B2. Materials on the portail des études.
  Some other useful information may be found on the other lecturers' pages: Elisa Riccietti, Stéphan Thomassé and Le Quoc Tung.
• * 2021-2022 Data Bases and Data Mining (M1 ENS Lyon) : On site, room B1. Materials on the portail des études.
  Some other useful information may be found on the other lecturers' pages: Mohand-Saïd Hacid and Céline Robardet.
• * 2021-2022 Machine Learning (M1 ENS Lyon) : On site in amphi B. Materials on Aurélien Garivier's page and on the portail des études.
  Some other useful information may be found on the other lecturers' pages:Yohann De Castro and Elisa Riccietti.
• * 2021-2022 System Programming (IUT 2A Lyon 1) : On site, refer to your schedule for the room. Materials on Anthony Busson's page.
• * 2020-2021 Competitive Programming (L3 ENS Lyon) : Mixed, on Discord and in amphi B. Materials on the Discord server. If you need an invide, reach out to me directly.
  Some other useful information may be found on the other lecturers' pages: Eric Thierry, Le Quoc Tung, Christophe Lucas and Lucas Perotin.
• * 2020-2021 Data Bases and Data Mining (M1 ENS Lyon) : Remote on ENS BBB. Materials on the portail des études.
  Some other useful information may be found on the other lecturers' pages: Emmanuel Coquery and Marc Plantevit.
• * 2020-2021 Machine Learning (M1 ENS Lyon) : Remote on ENS BBB. Materials on Aurélien Garivier's page and on the portail des études.
  Some other useful information may be found on the other lecturers' pages: Aurélien Garivier and Yohann De Castro.

Others

* Séminaires pour tous : Vulgarization of research topics to high school students.

Curriculum

• * 2024-Today : Maître de Conférences (eq Assistant Professor) in Applied Mathematics at Paul Sabatier University and Institute of Mathematics of Toulouse, France
• * 2023-2024 : Postdoctoral researcher in Mathematics with Jérôme Bolte and Sébastien Gadat at Toulouse School of Economics, Université Toulouse 1 Capitole, France
• * 2020-2023 : PhD student in Computer Science at ENS Lyon under the supervision of Aurélien Garivier and Rémi Gribonval among the Inria OCKHAM team. I successfully defended my PhD thesis in computer science titled "On the tradeoffs of statistical learning with privacy" on October 4th 2023. You may find the manuscript here, and the slides here.
• * 2023 : Laureate of the "Agrégation Externe de Mathématiques"
• * 2020-2023 : Teacher Assistant, ENS Lyon, France. Subjects: Machine Learning, Optimization, Data Bases and Data Mining, Competitive Programming, System Programming
• * 2019-2020 : Voluntary Complementary Formation in Mathematics, ENS Ulm, Paris, France
• * Spring 2019 : Internship : Nystagmus waveform extraction using convolutional dictionary learning with detrending, Supervised by Nicolas Vayatis, Laurent Oudre and Thomas Moreau, CMLA of ENS Paris-Saclay, Paris, France
• * 2018-2019 : M.S. in Applied Mathematics, MVA, ENS Paris-Saclay, France
• * Spring 2018 : Internship : Storage-optimal continuous optimization, Supervised by Volkan Cevher, EPFL in LIONS team, Lausanne, Switzerland
• * 2017-2018 : M.S. in Computer Science, ENS Ulm, Paris, France
• * Summer 2017 : Internship : De-anonymization and privacy: Study of a random graph model, Supervised by Florian Simatos, DISC of ISAE Supaero, Toulouse, France
• * 2016-2017 : B.S. in Computer Science, ENS Ulm, Paris, France
• * 2015-2016 : CPGE MP*, Lycée Louis-Le-Grand, Paris, France
• * 2013-2015 : CPGE MPSI/MP, Lycée Louis Barthou, Pau, France