Clément Lalanne

News

• July 2025 Had a great time at ICML 2025 in Vancouver, Canada, where I presented a poster for our article On the Private Estimation of Smooth Transport Maps. It was a fun and inspiring week, I really enjoyed the talks and connecting with so many brilliant people. Hats off to the organizers and presenters!
  
  
• May 2025 The preprint for our article Learning with Differentially Private (Sliced) Wasserstein Gradients (David Rodríguez-Vítores, Clément Lalanne, Jean-Michel Loubes) just got updated, including some interesting new experiments on private sliced-Wasserstein autoencoders !
• May 2025 Our article On the Private Estimation of Smooth Transport Maps (Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor) just got accepted to ICML ! The camera-ready version of the article should soon be available, including some nice additions following the discussions with the reviewers. See you in Vancouver :)
• 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.
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Publications

This publication list is automatically fetched and formatted from my HAL profile. In case of errors or omissions, please refer to my Google Scholar profile.

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.
• 📰 Teaching Archive

Curriculum

• 2024-Today : Assistant Professor (MCF) in Applied Mathematics at University of Toulouse and Institute of Mathematics of Toulouse
• 2023-2024 : Postdoc @ Toulouse School of Economics (Toulouse Capitole University) with Jérôme Bolte and Sébastien Gadat
• 2020-2023 : PhD in Computer Science @ ENS Lyon under the supervision of Aurélien Garivier and Rémi Gribonval among the Inria OCKHAM team
• 2023 : 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. Topics : Machine Learning, Optimization, Data Bases and Data Mining, Competitive Programming, System Programming
• 2016-2020 : Undergrad @ ENS Ulm; Civil Servant student (Normalien) in Computer Science (major) and Mathematics (minor)
• 2020 : M.S. (Diplôme de l'ENS) in Computer Science with a minor in Mathematics from ENS Ulm
• 2019 : M.S. in Applied Mathematics, MVA from ENS Paris-Saclay
• 2019 : Internship : Nystagmus waveform extraction using convolutional dictionary learning with detrending, supervised by Nicolas Vayatis, Laurent Oudre and Thomas Moreau, CMLA
• 2018 : Internship : Storage-optimal continuous optimization, supervised by Volkan Cevher, EPFL in LIONS team
• 2017 : Internship : De-anonymization and privacy: Study of a random graph model, supervised by Florian Simatos, DISC of ISAE Supaero
• 2013-2016 : CPGE MP* @ Lycée Louis-Le-Grand & MPSI/MP @ Lycée Louis Barthou