Sébastien Lachapelle
Scholar

Sébastien Lachapelle

Google Scholar ID: uxHoJp8AAAAJ
Research scientist at Samsung AI Lab, Montreal
machine learningidentifiable representation learningindependent component analysiscausality
Citations & Impact
All-time
Citations
1,658
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including: 'Nonparametric Partial Disentanglement via Mechanism Sparsity', 'On the Identifiability of Latent Action Policies', 'Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation', etc.; Received Université de Montréal's Best Thesis Award 2024-2025 in the Science and Engineering category.
Research Experience
  • Current position as a research scientist at Samsung AI Lab (SAIL) in Montreal; Joined SAIT AI Lab (Samsung) in Montreal as a research scientist in September 2023.
Education
  • Defended Ph.D. thesis in August 2024 under the supervision of Simon Lacoste-Julien; Graduated from Université de Montréal with a Bachelor's degree in Mathematics and Economics.
Background
  • Research scientist at Samsung AI Lab (SAIL) in Montreal. Current focus is on the identifiability of statistical models in causality and representation learning, as well as causal structure learning with continuous-constrained optimization methods.