Clément Lalanne

News

• June 2026 New preprint : Minimax Private Estimation of Smooth Optimal-Transport Maps (Clément Lalanne, David Rodríguez-Vítores, Franck Iutzeler, Jean-Michel Loubes).
• 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 !
  
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Publications

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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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