Sbastien Lachapelle
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling. | Emanuele Marconato, Sbastien Lachapelle, Sebastian Weichwald, Luigi Gresele |
| 2025 | ICLR | Interaction Asymmetry: A General Principle for Learning Composable Abstractions. | Jack Brady, Julius von Kgelgen, Sbastien Lachapelle, Simon Buchholz, Thomas Kipf, Wieland Brendel |
| 2024 | ICLR | Multi-View Causal Representation Learning with Partial Observability. | Dingling Yao, Danru Xu, Sbastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kgelgen, Francesco Locatello |
| 2024 | ICML | A Sparsity Principle for Partially Observable Causal Representation Learning. | Danru Xu, Dingling Yao, Sbastien Lachapelle, Perouz Taslakian, Julius von Kgelgen, Francesco Locatello, Sara Magliacane |
| 2023 | ICML | Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. | Sbastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand |
| 2022 | AISTATS | On the Convergence of Continuous Constrained Optimization for Structure Learning. | Ignavier Ng, Sbastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang |
| 2020 | ICLR | A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. | Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sbastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal |
| 2020 | ICLR | Gradient-Based Neural DAG Learning. | Sbastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien |