BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. - Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Salem Lahlou; Lucas Willems; Chitwan Saharia; Thien Huu Nguyen; Yoshua Bengio (CoRR, 2018)

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. - Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Salem Lahlou; Lucas Willems; Chitwan Saharia; Thien Huu Nguyen; Yoshua Bengio (ICLR (Poster), 2019)

Mastering Rate based Curriculum Learning. - Lucas Willems; Salem Lahlou; Yoshua Bengio (CoRR, 2020)

GFlowNets and variational inference. - Nikolay Malkin; Salem Lahlou; Tristan Deleu; Xu Ji; Edward J. Hu; Katie Everett; Dinghuai Zhang; Yoshua Bengio (ICLR, 2023)

A theory of continuous generative flow networks. - Salem Lahlou; Tristan Deleu; Pablo Lemos; Dinghuai Zhang; Alexandra Volokhova; Alex Hernández-García; Léna Néhale Ezzine; Yoshua Bengio; Nikolay Malkin (ICML, 2023)

GFlowOut: Dropout with Generative Flow Networks. - Dianbo Liu; Moksh Jain; Bonaventure F. P. Dossou; Qianli Shen; Salem Lahlou; Anirudh Goyal; Nikolay Malkin; Chris Chinenye Emezue; Dinghuai Zhang; Nadhir Hassen; Xu Ji; Kenji Kawaguchi; et al. (ICML, 2023)

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. - Maxime Chevalier-Boisvert; Bolun Dai; Mark Towers; Rodrigo Perez-Vicente; Lucas Willems; Salem Lahlou; Suman Pal; Pablo Samuel Castro; Jordan K. Terry (NeurIPS, 2023)

torchgfn: A PyTorch GFlowNet library. - Salem Lahlou; Joseph D. Viviano; Victor Schmidt (CoRR, 2023)

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. - Maxime Chevalier-Boisvert; Bolun Dai; Mark Towers; Rodrigo de Lazcano; Lucas Willems; Salem Lahlou; Suman Pal; Pablo Samuel Castro; Jordan K. Terry (CoRR, 2023)

BatchGFN: Generative Flow Networks for Batch Active Learning. - Shreshth A. Malik; Salem Lahlou; Andrew Jesson; Moksh Jain; Nikolay Malkin; Tristan Deleu; Yoshua Bengio; Yarin Gal (CoRR, 2023)

GFlowNet Foundations. - Yoshua Bengio; Salem Lahlou; Tristan Deleu; Edward J. Hu; Mo Tiwari; Emmanuel Bengio (J. Mach. Learn. Res., 2023)

DEUP: Direct Epistemic Uncertainty Prediction. - Salem Lahlou; Moksh Jain; Hadi Nekoei; Victor Butoi; Paul Bertin; Jarrid Rector-Brooks; Maksym Korablyov; Yoshua Bengio (Trans. Mach. Learn. Res., 2023)

Investigating Regularization of Self-Play Language Models. - Réda Alami; Abdalgader Abubaker; Mastane Achab; Mohamed El Amine Seddik; Salem Lahlou (CoRR, 2024)

On Generalization for Generative Flow Networks. - Anas Krichel; Nikolay Malkin; Salem Lahlou; Yoshua Bengio (CoRR, 2024)

PORT: Preference Optimization on Reasoning Traces. - Salem Lahlou; Abdalgader Abubaker; Hakim Hacid (NAACL (Long Papers), 2025)

On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis. - Junyi Guan; Abhijith Sharma; Chong Tian; Salem Lahlou (UAI, 2025)

Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets. - Adam Younsi; Abdalgader Abubaker; Mohamed El Amine Seddik; Hakim Hacid; Salem Lahlou (CoRR, 2025)

Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions. - Salem Lahlou (CoRR, 2025)

LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs. - Omar Choukrani; Idriss Malek; Daniil Orel; Zhuohan Xie; Zangir Iklassov; Martin Takác 001; Salem Lahlou (CoRR, 2025)

Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets. - Idriss Malek; Abhijith Sharma; Salem Lahlou (CoRR, 2025)

Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence. - Mehdi Bennis; Salem Lahlou (CoRR, 2025)

SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem. - Ahmed Heakl; Yahia Salaheldin Shaaban; Martin Takác 001; Salem Lahlou; Zangir Iklassov (CoRR, 2025)

FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning. - Zhuohan Xie; Dhruv Sahnan; Debopriyo Banerjee; Georgi Georgiev; Rushil Thareja; Hachem Madmoun; Jinyan Su; Aaryamonvikram Singh; Yuxia Wang; Rui Xing; Fajri Koto; Haonan Li 002; et al. (CoRR, 2025)

Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks. - Sajan Muhammad; Salem Lahlou (CoRR, 2025)