Document Length Normalization by Statistical Regression. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (ICTAI (2), 2007)

On Evaluation Methodologies for Text Segmentation Algorithms. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (ICTAI (2), 2007)

SegGen: A Genetic Algorithm for Linear Text Segmentation. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (IJCAI, 2007)

ClassStruggle: a clustering based text segmentation. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (SAC, 2007)

Using Text Segmentation to Enhance the Cluster Hypothesis. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (AIMSA, 2008)

Thematic Segment Retrieval Revisited. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (AIMSA, 2008)

Toward a More Global and Coherent Segmentation of Texts. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (Appl. Artif. Intell., 2008)

Using an Evolving Thematic Clustering in a Text Segmentation Process. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (J. Univers. Comput. Sci., 2008)

Vers la conception de documents composites : extraction et organisation de l'information pertinente. (Toward composite documents conception : extraction and organisation of relevant information). - Sylvain Lamprier (2008)

Clustering en recherche d'information : concentration vs distribution de l'information pertinente. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (CORIA, 2009)

Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis. - Sylvain Lamprier; Tassadit Amghar; Frédéric Saubion; Bernard Levrat (SAC, 2010)

Query-oriented clustering: a multi-objective approach. - Sylvain Lamprier; Tassadit Amghar; Frédéric Saubion; Bernard Levrat (SAC, 2010)

Organiser les résultats d'une recherche d'information. Clustering, répartition de l'information et facilité d'accès. - Sylvain Lamprier; Tassadit Amghar; Bernard Levrat; Frédéric Saubion (Document Numérique, 2010)

CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques. - Sylvain Lamprier; Nicolas Baskiotis; Tewfik Ziadi; Lom-Messan Hillah (ICECCS, 2013)

Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. - Simon Bourigault; Cédric Lagnier; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (CORIA-CIFED, 2014)

Exact and Efficient Temporal Steering of Software Behavioral Model Inference. - Sylvain Lamprier; Tewfik Ziadi; Nicolas Baskiotis; Lom-Messan Hillah (ICECCS, 2014)

Learning social network embeddings for predicting information diffusion. - Simon Bourigault; Cédric Lagnier; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (WSDM, 2014)

Learning Information Spread in Content Networks. - Cédric Lagnier; Simon Bourigault; Sylvain Lamprier; Ludovic Denoyer; Patrick Gallinari (ICLR (Workshop Poster), 2014)

Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. - Sylvain Lamprier; Simon Bourigault; Patrick Gallinari (ASONAM, 2015)

Policies for Contextual Bandit Problems with Count Payoffs. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ICTAI, 2015)

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. - Thibault Gisselbrecht; Ludovic Denoyer; Patrick Gallinari; Sylvain Lamprier (ICWSM, 2015)

Parameterized Neural Network Language Models for Information Retrieval. - Benjamin Piwowarski; Sylvain Lamprier; Nicolas Desprès (CoRR, 2015)

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. - Thibault Gisselbrecht; Ludovic Denoyer; Patrick Gallinari; Sylvain Lamprier (Document Numérique, 2015)

The CARE platform for the analysis of behavior model inference techniques. - Sylvain Lamprier; Nicolas Baskiotis; Tewfik Ziadi; Lom-Messan Hillah (Inf. Softw. Technol., 2015)

Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (CORIA-CIFED, 2016)

Apprentissage de modèles de langue neuronaux pour la recherche d'information. - Nicolas Desprès; Sylvain Lamprier; Benjamin Piwowarski (CORIA-CIFED, 2016)

Bandit contextuel pour la capture de données temps réel sur les médias sociaux. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (CORIA-CIFED, 2016)

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ICWSM, 2016)

Learning Distributed Representations of Users for Source Detection in Online Social Networks. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (ECML/PKDD (2), 2016)

Linear Bandits in Unknown Environments. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (ECML/PKDD (2), 2016)

Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (WSDM, 2016)

Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2016)

Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. - Thibault Gisselbrecht; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2016)

Influence learning for cascade diffusion models: focus on partial orders of infections. - Sylvain Lamprier; Simon Bourigault; Patrick Gallinari (Soc. Netw. Anal. Min., 2016)

Apprentissage de représentation pour la détection de source dans les réseaux sociaux. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (CORIA, 2017)

Variational Thompson Sampling for Relational Recurrent Bandits. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (ECML/PKDD (2), 2017)

Apprentissage de l'évolution langagière dans des communautés d'auteurs. - Edouard Delasalles; Sylvain Lamprier; Ludovic Denoyer (CORIA, 2018)

A Variational Topological Neural Model for Cascade-based Diffusion in Networks. - Sylvain Lamprier (CoRR, 2018)

Détection de sources de diffusion par apprentissage de représentations distribuées. - Simon Bourigault; Sylvain Lamprier; Patrick Gallinari (Document Numérique, 2018)

Profile-Based Bandit with Unknown Profiles. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (J. Mach. Learn. Res., 2018)

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. - Thomas Scialom; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP/IJCNLP (1), 2019)

Learning Dynamic Author Representations with Temporal Language Models. - Edouard Delasalles; Sylvain Lamprier; Ludovic Denoyer (ICDM, 2019)

Fair Adversarial Gradient Tree Boosting. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (ICDM, 2019)

A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion. - Sylvain Lamprier (ICML, 2019)

Dynamic Neural Language Models. - Edouard Delasalles; Sylvain Lamprier; Ludovic Denoyer (ICONIP (3), 2019)

Fairness-Aware Neural Réyni Minimization for Continuous Features. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2019)

Contextual bandits with hidden contexts: a focused data capture from social media streams. - Sylvain Lamprier; Thibault Gisselbrecht; Patrick Gallinari (Data Min. Knowl. Discov., 2019)

Apprentissage et Inférence Structurelle pour l'Extraction de Dynamiques de l'Information. - Sylvain Lamprier (2020)

Using BERT and BART for Query Suggestion. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (CIRCLE, 2020)

MLSUM: The Multilingual Summarization Corpus. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (EMNLP (1), 2020)

Stochastic Latent Residual Video Prediction. - Jean-Yves Franceschi; Edouard Delasalles; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2020)

Discriminative Adversarial Search for Abstractive Summarization. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (ICML, 2020)

Fairness-Aware Neural Rényi Minimization for Continuous Features. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2020)

ColdGANs: Taming Language GANs with Cautious Sampling Strategies. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano (NeurIPS, 2020)

Stochastic sparse adversarial attacks. - Hatem Hajri; Manon Césaire; Théo Combey; Sylvain Lamprier; Patrick Gallinari (CoRR, 2020)

Achieving Fairness with Decision Trees: An Adversarial Approach. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (Data Sci. Eng., 2020)

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. - Clément Rebuffel; Thomas Scialom; Laure Soulier; Benjamin Piwowarski; Sylvain Lamprier; Jacopo Staiano; Geoffrey Scoutheeten; Patrick Gallinari (EMNLP (1), 2021)

QuestEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang; Patrick Gallinari (EMNLP (1), 2021)

PDE-Driven Spatiotemporal Disentanglement. - Jérémie Donà; Jean-Yves Franceschi; Sylvain Lamprier; Patrick Gallinari (ICLR, 2021)

Enforcing Individual Fairness via Rényi Variational Inference. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ICONIP (5), 2021)

Stochastic sparse adversarial attacks. - Manon Césaire; Lucas Schott; Hatem Hajri; Sylvain Lamprier; Patrick Gallinari (ICTAI, 2021)

To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. - Thomas Scialom; Paul-Alexis Dray; Jacopo Staiano; Sylvain Lamprier; Benjamin Piwowarski (NeurIPS, 2021)

Learning Unbiased Representations via Rényi Minimization. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ECML/PKDD (2), 2021)

SAFEval: Summarization Asks for Fact-based Evaluation. - Thomas Scialom; Paul-Alexis Dray; Patrick Gallinari; Sylvain Lamprier; Benjamin Piwowarski; Jacopo Staiano; Alex Wang (CoRR, 2021)

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. - Lucas Schott; Manon Césaire; Hatem Hajri; Sylvain Lamprier (CoRR, 2021)

Deep dynamic neural networks for temporal language modeling in author communities. - Edouard Delasalles; Sylvain Lamprier; Ludovic Denoyer (Knowl. Inf. Syst., 2021)

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. - Pierre-Alexandre Kamienny; Jean Tarbouriech; Sylvain Lamprier; Alessandro Lazaric; Ludovic Denoyer (ICLR, 2022)

A Neural Tangent Kernel Perspective of GANs. - Jean-Yves Franceschi; Emmanuel de Bézenac; Ibrahim Ayed; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2022)

Generative Cooperative Networks for Natural Language Generation. - Sylvain Lamprier; Thomas Scialom; Antoine Chaffin; Vincent Claveau; Ewa Kijak; Jacopo Staiano; Benjamin Piwowarski (ICML, 2022)

IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (ICTIR, 2022)

Fairness without the Sensitive Attribute via Causal Variational Autoencoder. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2022)

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. - Lucas Schott; Hatem Hajri; Sylvain Lamprier (IJCNN, 2022)

EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. - Thomas Carta; Pierre-Yves Oudeyer; Olivier Sigaud; Sylvain Lamprier (NeurIPS, 2022)

Which Discriminator for Cooperative Text Generation? - Antoine Chaffin; Thomas Scialom; Sylvain Lamprier; Jacopo Staiano; Benjamin Piwowarski; Ewa Kijak; Vincent Claveau (SIGIR, 2022)

Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation). - Antoine Chaffin; Vincent Claveau; Ewa Kijak; Sylvain Lamprier; Benjamin Piwowarski; Thomas Scialom; Jacopo Staiano (TALN-RECITAL, 2022)

A fair pricing model via adversarial learning. - Vincent Grari; Arthur Charpentier; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2022)

Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems. - Nicolas Castanet; Sylvain Lamprier; Olivier Sigaud (CoRR, 2022)

On the Study of Transformers for Query Suggestion. - Agnès Mustar; Sylvain Lamprier; Benjamin Piwowarski (ACM Trans. Inf. Syst., 2022)

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. - Thomas Carta; Clément Romac; Thomas Wolf; Sylvain Lamprier; Olivier Sigaud; Pierre-Yves Oudeyer (ICML, 2023)

Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning. - Nicolas Castanet; Olivier Sigaud; Sylvain Lamprier (ICML, 2023)

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. - Pierre-Alexandre Kamienny; Guillaume Lample; Sylvain Lamprier; Marco Virgolin (ICML, 2023)

Adversarial learning for counterfactual fairness. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (Mach. Learn., 2023)

Neural Adversarial Attacks with Random Noises. - Hatem Hajri; Manon Césaire; Lucas Schott; Sylvain Lamprier; Patrick Gallinari (Int. J. Artif. Intell. Tools, 2023)

Learning Relational Decomposition of Queries for Question Answering from Tables. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (ACL (1), 2024)

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. - Vincent Grari; Thibault Laugel; Tatsunori Hashimoto; Sylvain Lamprier; Marcin Detyniecki (ICLR, 2024)

Training Table Question Answering via SQL Query Decomposition. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (CoRR, 2024)

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. - Lucas Schott; Joséphine Delas; Hatem Hajri; Elies Gherbi; Reda Yaich; Nora Boulahia-Cuppens; Frédéric Cuppens; Sylvain Lamprier (CoRR, 2024)

SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling. - Loris Gaven; Clément Romac; Thomas Carta; Sylvain Lamprier; Olivier Sigaud; Pierre-Yves Oudeyer (CoRR, 2024)

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning. - Alexi Canesse; Mathieu Petitbois; Ludovic Denoyer; Sylvain Lamprier; Rémy Portelas (CoRR, 2024)

Deinterleaving of Discrete Renewal Process Mixtures With Application to Electronic Support Measures. - Jean Pinsolle; Olivier Goudet; Cyrille Enderli; Sylvain Lamprier; Jin-Kao Hao (IEEE Trans. Signal Process., 2024)

Structural Deep Encoding for Table Question Answering. - Raphaël Mouravieff; Benjamin Piwowarski; Sylvain Lamprier (ACL (Findings), 2025)

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting. - Mohamed Salim Aissi; Clément Romac; Thomas Carta; Sylvain Lamprier; Pierre-Yves Oudeyer; Olivier Sigaud; Laure Soulier; Nicolas Thome (NAACL (Findings), 2025)

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. - Loris Gaven; Thomas Carta; Clément Romac; Cédric Colas; Sylvain Lamprier; Olivier Sigaud; Pierre-Yves Oudeyer (CoRR, 2025)

A Transformer Model for Predicting Chemical Reaction Products from Generic Templates. - Derin Ozer; Sylvain Lamprier; Thomas Cauchy; Nicolas Gutowski; Benoit Da Mota (CoRR, 2025)

Offline Learning of Controllable Diverse Behaviors. - Mathieu Petitbois; Rémy Portelas; Sylvain Lamprier; Ludovic Denoyer (CoRR, 2025)

Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning. - Nicolas Castanet; Olivier Sigaud; Sylvain Lamprier (CoRR, 2025)

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents. - Thomas Carta; Clément Romac; Loris Gaven; Pierre-Yves Oudeyer; Olivier Sigaud; Sylvain Lamprier (CoRR, 2025)