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Sébastien Lachapelle

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Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

Jan 10, 2024
Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien

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Multi-View Causal Representation Learning with Partial Observability

Nov 07, 2023
Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

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Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation

Jul 05, 2023
Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien

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Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective

Nov 26, 2022
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand

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Partial Disentanglement via Mechanism Sparsity

Jul 15, 2022
Sébastien Lachapelle, Simon Lacoste-Julien

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Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA

Jul 21, 2021
Sébastien Lachapelle, Pau Rodríguez López, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien

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On the Convergence of Continuous Constrained Optimization for Structure Learning

Dec 16, 2020
Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien

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Differentiable Causal Discovery from Interventional Data

Jul 03, 2020
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin

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Gradient-Based Neural DAG Learning

Jun 05, 2019
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien

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