Sébastien Lachapelle
Research Scientist at SAIL (Samsung)
Ph.D. Student at Mila - Université de Montréal
Publications & Preprints
- 11
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
By Sébastien Lachapelle, Pau Rodríguez López , Yash Sharma , Katie Everett , Rémi Le Priol , Alexandre Lacoste and Simon Lacoste-Julien.
Preprint.
- 10
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
By Sébastien Lachapelle*, Divyat Mahajan*, Ioannis Mitliagkas and Simon Lacoste-Julien.
*Equal contributions.
NeurIPS 2023 (Oral!).
- 9
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective
By Sébastien Lachapelle*, Tristan Deleu*, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien and Quentin Bertrand.
*Equal contributions.
ICML 2023.
- 8
Partial Disentanglement via Mechanism Sparsity
By Sébastien Lachapelle and Simon Lacoste-Julien.
UAI 2022 First Workshop on Causal Representation Learning (Workshop oral + Best paper award!).
- 7
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
By Sébastien Lachapelle, Pau Rodríguez López , Yash Sharma , Katie Everett , Rémi Le Priol , Alexandre Lacoste and Simon Lacoste-Julien.
CLeaR 2022.
- 6
Typing assumptions improve identification in causal discovery
By Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle and Alexandre Drouin.
CLeaR 2022 (Oral!).
- 5
Differentiable Causal Discovery from Interventional Data
By Philippe Brouillard*, Sébastien Lachapelle*, Alexandre Lacoste, Simon Lacoste-Julien and Alexandre Drouin.
*Equal contribution.
NeurIPS 2020 (Spotlight!).
- 4
On the Convergence of Continuous Constrained Optimization for Structure Learning
By Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke and Simon Lacoste-Julien.
AISTATS 2022.
ICML 2021 Workshop on The Neglected Assumptions in Causal Inference 2022 (Workshop oral!).
- 3
Gradient-Based Neural DAG Learning
By Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu and Simon Lacoste-Julien.
ICLR 2020.
- 2
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
By Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal and Christopher Pal.
ICLR 2020.
- 1
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
By Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi.
INFORMS Journal on Computing 2021.
Contact
Sébastien Lachapelle
Mila - Quebec AI Institute
6666 Saint-Urbain
Montreal, QC
H2S 3H1 Canada
