Laurent Charlin

Publications

LitLLMs, LLMs for Literature Review: Are We There Yet?. Gaurav Sahu, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Krishnamurthy (Dj) Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal. At Transactions on Machine Learning Research (TMLR), 2025.

PDF Citation Vidéo

LitLLM: A Toolkit for Scientific Literature Review. Shubham Agarwal, Abhay Puri, Issam H. Laradji, Laurent Charlin, Christopher Pal. At ArXiv, 2024.

Continual Learning with self-selecting specialized modules through expansion and pruning. Oleksiy Ostapenko, Pau Rodriguez, Alexandre Lacoste, Laurent Charlin. At Montreal AI Symposium (MAIS), 2022.

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Arthur Douillard, Irina Rish, Laurent Charlin. At Conference on Lifelong Learning Agents (CoLLAs), 2022.

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Arthur Douillard, Irina Rish, Laurent Charlin. At Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Deconfounding Dynamic Treatment Regimes. David Berger, Alexandre Drouin, Alexandre Lacoste, Laurent Charlin. At SSC, 2022.

Continual Learning via Local Module Composition. Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS), 2021.

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vazquez. At International Conference on Computer Vision (ICCV), 2021.

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vazquez, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frederic Branchaud, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vazquez, Laurent Charlin. At Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Towards Deep Conversational Recommendations. Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frédéric Branchaud-Charron, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Montreal AI Symposium (MAIS), 2018.