Sylvain Lamprier

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.

[BibT_eX]

[DOI]

Lucas Schott

Hatem Hajri

Proceedings of the International Joint Conference on Neural Networks, 2022

Fairness without the Sensitive Attribute via Causal Variational Autoencoder.

[BibT_eX]

[DOI]

Vincent Grari

Marcin Detyniecki

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IRnator: A Framework for Discovering Users Needs from Sets of Suggestions.

[BibT_eX]

[DOI]

Agnès Mustar

Pierre-Alexandre Kamienny

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A Neural Tangent Kernel Perspective of GANs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Deep dynamic neural networks for temporal language modeling in author communities.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

SAFEval: Summarization Asks for Fact-based Evaluation.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Unbiased Representations via Rényi Minimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic sparse adversarial attacks.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Enforcing Individual Fairness via Rényi Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

PDE-Driven Spatiotemporal Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

QuestEval: Summarization Asks for Fact-based Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Achieving Fairness with Decision Trees: An Adversarial Approach.

[BibT_eX]

[DOI]

Data Sci. Eng., 2020

Stochastic sparse adversarial attacks.

[BibT_eX]

[DOI]

CoRR, 2020

ColdGANs: Taming Language GANs with Cautious Sampling Strategies.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vincent Grari

Marcin Detyniecki

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Discriminative Adversarial Search for Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Latent Residual Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

MLSUM: The Multilingual Summarization Corpus.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Using BERT and BART for Query Suggestion.

[BibT_eX]

[DOI]

Agnès Mustar

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.

[BibT_eX]

[DOI]

, 2020

2019

Contextual bandits with hidden contexts: a focused data capture from social media streams.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Fairness-Aware Neural Réyni Minimization for Continuous Features.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamic Neural Language Models.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Fair Adversarial Gradient Tree Boosting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Dynamic Author Representations with Temporal Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Détection de sources de diffusion par apprentissage de représentations distribuées.

[BibT_eX]

[DOI]

Document Numérique, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Apprentissage de l'évolution langagière dans des communautés d'auteurs.

[BibT_eX]

[DOI]

Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

2017

Variational Thompson Sampling for Relational Recurrent Bandits.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Apprentissage de représentation pour la détection de source dans les réseaux sociaux.

[BibT_eX]

[DOI]

Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

2016

Influence learning for cascade diffusion models: focus on partial orders of infections.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel.

[BibT_eX]

[DOI]

Document Numérique, 2016

Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux.

[BibT_eX]

[DOI]

Document Numérique, 2016

Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Linear Bandits in Unknown Environments.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning Distributed Representations of Users for Source Detection in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

Apprentissage de modèles de langue neuronaux pour la recherche d'information.

[BibT_eX]

[DOI]

Nicolas Desprès

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2015

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.

[BibT_eX]

[DOI]

Document Numérique, 2015

Parameterized Neural Network Language Models for Information Retrieval.

[BibT_eX]

[DOI]

Nicolas Desprès

CoRR, 2015

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Policies for Contextual Bandit Problems with Count Payoffs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Learning Information Spread in Content Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning social network embeddings for predicting information diffusion.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Exact and Efficient Temporal Steering of Software Behavioral Model Inference.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the CORIA 2014, 2014

2013

CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Document Numérique, 2010

Query-oriented clustering: a multi-objective approach.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009

Clustering en recherche d'information : concentration vs distribution de l'information pertinente.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]