Sylvain Lamprier
Orcid: 0000-0002-2508-922X
According to our database1,
Sylvain Lamprier
authored at least 92 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces.
CoRR, February, 2025
2024
Deinterleaving of Discrete Renewal Process Mixtures With Application to Electronic Support Measures.
IEEE Trans. Signal Process., 2024
CoRR, 2024
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting.
CoRR, 2024
SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling.
CoRR, 2024
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Int. J. Artif. Intell. Tools, August, 2023
Proceedings of the International Conference on Machine Learning, 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
2022
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems.
CoRR, 2022
Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation).
Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Knowl. Inf. Syst., 2021
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks.
CoRR, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Data Sci. Eng., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020
Apprentissage et Inférence Structurelle pour l'Extraction de Dynamiques de l'Information.
, 2020
2019
Contextual bandits with hidden contexts: a focused data capture from social media streams.
Data Min. Knowl. Discov., 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Document Numérique, 2018
CoRR, 2018
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018
2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Apprentissage de représentation pour la détection de source dans les réseaux sociaux.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017
2016
Influence learning for cascade diffusion models: focus on partial orders of infections.
Soc. Netw. Anal. Min., 2016
Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel.
Document Numérique, 2016
Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux.
Document Numérique, 2016
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Learning Distributed Representations of Users for Source Detection in Online Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Tenth International Conference on Web and Social Media, 2016
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016
Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016
2015
Inf. Softw. Technol., 2015
Document Numérique, 2015
Proceedings of the Ninth International Conference on Web and Social Media, 2015
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the 2014 19th International Conference on Engineering of Complex Computer Systems, 2014
Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux.
Proceedings of the CORIA 2014, 2014
2013
CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques.
Proceedings of the 2013 18th International Conference on Engineering of Complex Computer Systems, 2013
2010
Organiser les résultats d'une recherche d'information. Clustering, répartition de l'information et facilité d'accès.
Document Numérique, 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
2009
Clustering en recherche d'information : concentration vs distribution de l'information pertinente.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2009
2008
Vers la conception de documents composites : extraction et organisation de l'information pertinente. (Toward composite documents conception : extraction and organisation of relevant information).
PhD thesis, 2008
J. Univers. Comput. Sci., 2008
Proceedings of the Artificial Intelligence: Methodology, 2008
Proceedings of the Artificial Intelligence: Methodology, 2008
2007
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007