Sébastien Lachapelle

@seblachap

ML Researcher at LawZero. Causality, identifiable representation learning & AI safety. Previously at SAIL Montreal (Samsung), @Mila_Quebec & @UMontrealDIRO

Montréal, CA

slachapelle.github.io

Joined March 2016

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878 Followers

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Sébastien Lachapelle
@seblachap
Dec 5, 2023
1/ Excited for our oral presentation at #NeurIPS2023 on "Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation"! A theoretical paper about object-centric representation learning (OCRL), disentanglement & extrapolation arxiv.org/abs/2307.02598
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Sébastien Lachapelle
@seblachap
Sep 4
Today is my last day as a member of Samsung AI Lab, Montreal (SAIL). A huge "thank you" to this amazing team who taught me so much during the past three years. SAIL is a truly unique environment to do research. I wish all the best to the lab and its members!
Sébastien Lachapelle
@seblachap
Jul 11
ICML 2026 in Seoul was great, feeling very grateful I'm getting paid to learn.
Sébastien Lachapelle
@seblachap
Jul 8
Happening now!
Sébastien Lachapelle
@seblachap
Jul 7
Presenting our work at ICML this week! Come and say hi! On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning Poster: Wed, Jul 8, 10:30 AM KST, HALL A # 508
Sébastien Lachapelle
@seblachap
Jul 7
Presenting our work at ICML this week! Come and say hi! On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning Poster: Wed, Jul 8, 10:30 AM KST, HALL A # 508
Sacha Morin
@SachMorin
Jul 7
Action labels for BC are not cheap. Semi-supervised methods use Inverse Dynamics Models (IDMs) to fix this, but why does IDM learning actually outperform BC in this context? Our #ICML2026 paper answers this! 🇰🇷 📜 Paper: arxiv.org/abs/2602.02762 🧵

Sébastien Lachapelle

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