Sylvain Lamprier

Orcid: 0000-0002-2508-922X

According to our database1, Sylvain Lamprier authored at least 92 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning.
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

Training Table Question Answering via SQL Query Decomposition.
CoRR, 2024

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Relational Decomposition of Queries for Question Answering from Tables.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Neural Adversarial Attacks with Random Noises.
Int. J. Artif. Intell. Tools, August, 2023

Adversarial learning for counterfactual fairness.
Mach. Learn., March, 2023

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search.
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
On the Study of Transformers for Query Suggestion.
ACM Trans. Inf. Syst., 2022

Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems.
CoRR, 2022

A fair pricing model via adversarial learning.
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

Which Discriminator for Cooperative Text Generation?
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

Fairness without the Sensitive Attribute via Causal Variational Autoencoder.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IRnator: A Framework for Discovering Users Needs from Sets of Suggestions.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Generative Cooperative Networks for Natural Language Generation.
Proceedings of the International Conference on Machine Learning, 2022

A Neural Tangent Kernel Perspective of GANs.
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
Deep dynamic neural networks for temporal language modeling in author communities.
Knowl. Inf. Syst., 2021

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks.
CoRR, 2021

SAFEval: Summarization Asks for Fact-based Evaluation.
CoRR, 2021

Learning Unbiased Representations via Rényi Minimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic sparse adversarial attacks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Enforcing Individual Fairness via Rényi Variational Inference.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

PDE-Driven Spatiotemporal Disentanglement.
Proceedings of the 9th International Conference on Learning Representations, 2021

QuestEval: Summarization Asks for Fact-based Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Achieving Fairness with Decision Trees: An Adversarial Approach.
Data Sci. Eng., 2020

Stochastic sparse adversarial attacks.
CoRR, 2020

ColdGANs: Taming Language GANs with Cautious Sampling Strategies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fairness-Aware Neural Rényi Minimization for Continuous Features.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Discriminative Adversarial Search for Abstractive Summarization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Latent Residual Video Prediction.
Proceedings of the 37th International Conference on Machine Learning, 2020

MLSUM: The Multilingual Summarization Corpus.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Using BERT and BART for Query Suggestion.
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

Fairness-Aware Neural Réyni Minimization for Continuous Features.
CoRR, 2019

Dynamic Neural Language Models.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion.
Proceedings of the 36th International Conference on Machine Learning, 2019

Fair Adversarial Gradient Tree Boosting.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Dynamic Author Representations with Temporal Language Models.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Profile-Based Bandit with Unknown Profiles.
J. Mach. Learn. Res., 2018

Détection de sources de diffusion par apprentissage de représentations distribuées.
Document Numérique, 2018

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

Apprentissage de l'évolution langagière dans des communautés d'auteurs.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

2017
Variational Thompson Sampling for Relational Recurrent Bandits.
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

Linear Bandits in Unknown Environments.
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

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Bandit contextuel pour la capture de données temps réel sur les médias sociaux.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

Apprentissage de modèles de langue neuronaux pour la recherche d'information.
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
The CARE platform for the analysis of behavior model inference techniques.
Inf. Softw. Technol., 2015

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.
Document Numérique, 2015

Parameterized Neural Network Language Models for Information Retrieval.
CoRR, 2015

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Policies for Contextual Bandit Problems with Count Payoffs.
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
Learning Information Spread in Content Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning social network embeddings for predicting information diffusion.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Exact and Efficient Temporal Steering of Software Behavioral Model Inference.
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

Query-oriented clustering: a multi-objective approach.
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

Using an Evolving Thematic Clustering in a Text Segmentation Process.
J. Univers. Comput. Sci., 2008

Toward a More Global and Coherent Segmentation of Texts.
Appl. Artif. Intell., 2008

Thematic Segment Retrieval Revisited.
Proceedings of the Artificial Intelligence: Methodology, 2008

Using Text Segmentation to Enhance the Cluster Hypothesis.
Proceedings of the Artificial Intelligence: Methodology, 2008

2007
ClassStruggle: a clustering based text segmentation.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

SegGen: A Genetic Algorithm for Linear Text Segmentation.
Proceedings of the IJCAI 2007, 2007

On Evaluation Methodologies for Text Segmentation Algorithms.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Document Length Normalization by Statistical Regression.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007


  Loading...