Clément Lalanne

News

• May 2026 Our article Token-Efficient Change Detection in LLM APIs (Timothée Chauvin, Clément Lalanne, Erwan Le Merrer, Jean-Michel Loubes, François Taïani, Gilles Tredan) just got accepted to ICML ! See you in Seoul :)
• February 2026 New preprint : Token-Efficient Change Detection in LLM APIs (Timothée Chauvin, Clément Lalanne, Erwan Le Merrer, Jean-Michel Loubes, François Taïani, Gilles Tredan). We show that LLM change detection exhibits a sharp low-temperature phase transition, and leverage this phenomenon to build a token-efficient method that reduces API costs by up to 30x.
• January 2026 I was delighted to be invited to speak in the session "Theory, Data, Models: What Foundations for AI?" during the ANITI Days 2026. Many thanks to Edouard Pauwels and Nicholas Asher for their invitation. It was a little intimidating to speak alongside David Donoho, Emiliano Lorini, and Rufin VanRullen, but everything went smoothly in the end. For anyone interested, the slides are available in .pdf and .key formats.
  
• December 2025 Had a great time at EurIPS 2025 in Copenhagen, Denmark. I was happy to attend and connect with the community during the workshop Privacy-Preserving Machine Learning: Towards Tight Guarantee. It was a stimulating and inspiring week, with many insightful discussions and high-quality talks. Many thanks to the organizers and participants for making this event such a success!
  
  
• October 2025 I had the pleasure of attending the workshop Probabilistic Metrics and Trimming Techniques in Statistics, organized in honour of Juan A. Cuesta-Albertos and Carlos Matrán. Many thanks to the organizers for this very nice and stimulating meeting. It was a pleasure to see a workshop dedicated to two researchers whose work has played an important role in both probability theory and statistics, surounded by such a nice and welcoming community !
  
• 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!
  
  
• June 2025 Had a great time at JdS 2025 in Marseille, France. Such a great community!
  
  
• 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!
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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

• Assymptotic Statistics (M2 RI Toulouse University / ISAE Supaero) : Course 2025-2026.
• Mathematical Methods for Supervised Learning (M1 SID Toulouse University) : Course 2025-2026.
• Mathematics of Machine Learning (M2 MAPI3 Toulouse University) : Course 2025-2026, Projects 2025-2026.
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