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ORCIDSalem Lahlou
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2020 – today
- 2026
[e1]Salem Lahlou, Madhavan Mukund
:
Networked Systems - 13th International Conference, NETYS 2025, Rabat, Morocco, May 21-23, 2025, Proceedings. Lecture Notes in Computer Science 15736, Springer 2026, ISBN 978-3-032-00346-1 [contents]- 2025
- [c7]Salem Lahlou, Abdalgader Abubaker, Hakim Hacid:
PORT: Preference Optimization on Reasoning Traces. NAACL (Long Papers) 2025: 10989-11005 - [c6]Junyi Guan, Abhijith Sharma, Chong Tian, Salem Lahlou:
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis. UAI 2025: 1586-1599 - [i25]Junyi Guan, Abhijith Sharma, Chong Tian, Salem Lahlou:
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis. CoRR abs/2502.13191 (2025) - [i24]Adam Younsi, Abdalgader Abubaker, Mohamed El Amine Seddik, Hakim Hacid, Salem Lahlou:
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets. CoRR abs/2504.19981 (2025) - [i23]Salem Lahlou:
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions. CoRR abs/2504.19990 (2025) - [i22]Omar Choukrani, Idriss Malek, Daniil Orel, Zhuohan Xie, Zangir Iklassov, Martin Takác, Salem Lahlou:
LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs. CoRR abs/2505.12135 (2025) - [i21]Idriss Malek, Abhijith Sharma, Salem Lahlou:
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets. CoRR abs/2505.15251 (2025) - [i20]Mehdi Bennis, Salem Lahlou:
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence. CoRR abs/2505.20964 (2025) - [i19]Ahmed Heakl, Yahia Salaheldin Shaaban, Martin Takác, Salem Lahlou, Zangir Iklassov:
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem. CoRR abs/2505.21887 (2025) - [i18]Zhuohan Xie, Dhruv Sahnan, Debopriyo Banerjee, Georgi Georgiev, Rushil Thareja, Hachem Madmoun, Jinyan Su, Aaryamonvikram Singh, Yuxia Wang, Rui Xing, Fajri Koto, Haonan Li, Ivan Koychev, Tanmoy Chakraborty, Salem Lahlou, Veselin Stoyanov, Preslav Nakov:
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning. CoRR abs/2506.02515 (2025) - [i17]Sajan Muhammad, Salem Lahlou:
Improved Exploration in GFlownets via Enhanced Epistemic Neural Networks. CoRR abs/2506.16313 (2025) - [i16]Aya Laajil, Abduragim Shtanchaev, Sajan Muhammad, Eric Moulines, Salem Lahlou:
Curriculum-Augmented GFlowNets For mRNA Sequence Generation. CoRR abs/2510.03811 (2025) - [i15]Hachem Madmoun, Salem Lahlou:
Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches. CoRR abs/2510.05748 (2025) - [i14]Omar El Mansouri, Mohamed El Amine Seddik, Salem Lahlou:
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients. CoRR abs/2510.18924 (2025) - 2024
- [i13]Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou:
Investigating Regularization of Self-Play Language Models. CoRR abs/2404.04291 (2024) - [i12]Salem Lahlou, Abdalgader Abubaker, Hakim Hacid:
PORT: Preference Optimization on Reasoning Traces. CoRR abs/2406.16061 (2024) - [i11]Anas Krichel, Nikolay Malkin, Salem Lahlou, Yoshua Bengio:
On Generalization for Generative Flow Networks. CoRR abs/2407.03105 (2024) - 2023
- [j2]Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio:
GFlowNet Foundations. J. Mach. Learn. Res. 24: 210:1-210:55 (2023) - [j1]Salem Lahlou, Moksh Jain, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio:
DEUP: Direct Epistemic Uncertainty Prediction. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. ICLR 2023 - [c4]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. ICML 2023: 18269-18300 - [c3]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, Yoshua Bengio:
GFlowOut: Dropout with Generative Flow Networks. ICML 2023: 21715-21729 - [c2]Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. NeurIPS 2023 - [i10]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. CoRR abs/2301.12594 (2023) - [i9]Salem Lahlou, Joseph D. Viviano, Victor Schmidt:
torchgfn: A PyTorch GFlowNet library. CoRR abs/2305.14594 (2023) - [i8]Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo de Lazcano, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, Jordan K. Terry:
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks. CoRR abs/2306.13831 (2023) - [i7]Shreshth A. Malik, Salem Lahlou, Andrew Jesson, Moksh Jain, Nikolay Malkin, Tristan Deleu, Yoshua Bengio, Yarin Gal:
BatchGFN: Generative Flow Networks for Batch Active Learning. CoRR abs/2306.15058 (2023) - 2022
- [i6]Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward J. Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio:
GFlowNets and variational inference. CoRR abs/2210.00580 (2022) - [i5]Dianbo Liu, Moksh Jain, Bonaventure Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio:
GFlowOut: Dropout with Generative Flow Networks. CoRR abs/2210.12928 (2022) - 2021
- [i4]Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio:
DEUP: Direct Epistemic Uncertainty Prediction. CoRR abs/2102.08501 (2021) - [i3]Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio:
GFlowNet Foundations. CoRR abs/2111.09266 (2021) - 2020
- [i2]Lucas Willems, Salem Lahlou, Yoshua Bengio:
Mastering Rate based Curriculum Learning. CoRR abs/2008.06456 (2020)
2010 – 2019
- 2019
- [c1]Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio:
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. ICLR (Poster) 2019 - 2018
- [i1]Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio:
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. CoRR abs/1810.08272 (2018)
Coauthor Index
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