Salem Lahlou
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Babyai: A platform to study the sample efficiency of grounded language learning
M Chevalier-Boisvert, D Bahdanau, S Lahlou, L Willems, C Saharia, ...
arXiv preprint arXiv:1810.08272, 2018
Gflownet foundations
Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio
The Journal of Machine Learning Research 24 (1), 10006-10060, 2023
Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks
M Chevalier-Boisvert, B Dai, M Towers, R Perez-Vicente, L Willems, ...
Advances in Neural Information Processing Systems 36, 2024
DEUP: Direct Epistemic Uncertainty Prediction
S Lahlou, M Jain, H Nekoei, V Butoi, P Bertin, J Rector-Brooks, ...
Transactions On Machine Learning Research, 2022
GFlowNets and variational inference
N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio
arXiv preprint arXiv:2210.00580, 2022
A theory of continuous generative flow networks
S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A Hernández-Garcıa, ...
International Conference on Machine Learning, 18269-18300, 2023
A Nash equilibrium formulation of a tradable credits scheme for incentivizing transport choices: From next-generation public transport mode choice to HOT lanes
S Lahlou, L Wynter
Transportation Research Part B: Methodological 101, 185-212, 2017
Gflowout: Dropout with generative flow networks
D Liu, M Jain, BFP Dossou, Q Shen, S Lahlou, A Goyal, N Malkin, ...
International Conference on Machine Learning, 21715-21729, 2023
Mastering rate based curriculum learning
L Willems, S Lahlou, Y Bengio
arXiv preprint arXiv:2008.06456, 2020
torchgfn: A pytorch gflownet library
S Lahlou, JD Viviano, V Schmidt, Y Bengio
arXiv preprint arXiv:2305.14594, 2023
Batchgfn: Generative flow networks for batch active learning
SA Malik, S Lahlou, A Jesson, M Jain, N Malkin, T Deleu, Y Bengio, Y Gal
arXiv preprint arXiv:2306.15058, 2023
Investigating Regularization of Self-Play Language Models
R Alami, A Abubaker, M Achab, MEA Seddik, S Lahlou
arXiv preprint arXiv:2404.04291, 2024
On Generalization for Generative Flow Networks
A Krichel, N Malkin, S Lahlou, Y Bengio
arXiv preprint arXiv:2407.03105, 2024
PORT: Preference Optimization on Reasoning Traces
S Lahlou, A Abubaker, H Hacid
arXiv preprint arXiv:2406.16061, 2024
Advances in uncertainty modelling: from epistemic uncertainty estimation to generalized generative flow networks
S Lahlou
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