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Ludovic Denoyer

Ludovic Denoyer

Overview

Ludovic Denoyer is affiliated with Sorbonne University in France and has made contributions primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications, and Signal Processing.

Their research topics cover a range of areas with notable focus on:

  • Reinforcement Learning in Robotics
  • Data Stream Mining Techniques
  • Advanced Bandit Algorithms Research
  • Information Retrieval and Search Behavior
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Web Data Mining and Analysis

Denoyer's frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Knowledge and Information Systems
  • HAL (Le Centre pour la Communication Scientifique Directe)

Among recent papers authored or coauthored by Denoyer are:

  • Efficient Continual Learning with Modular Networks and Task-Driven Priors, 2020, arXiv (Cornell University)
  • WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization, 2020, arXiv (Cornell University)
  • Interactive Query Clarification and Refinement via User Simulation, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Building a Subspace of Policies for Scalable Continual Learning, 2022, arXiv (Cornell University)

Frequent collaborators in their research include Laure Soulier, Sylvain Lamprier, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, and Alessandro Lazaric, reflecting ongoing cooperative efforts in their fields of study.

Best Publications

  • Word translation without parallel data

    Guillaume Lample;Alexis Conneau;Marc'Aurelio Ranzato;Ludovic Denoyer

  • Phrase-Based & Neural Unsupervised Machine Translation

    Guillaume Lample;Myle Ott;Alexis Conneau;Ludovic Denoyer

  • Unsupervised Machine Translation Using Monolingual Corpora Only

    Guillaume Lample;Alexis Conneau;Ludovic Denoyer;Marc'Aurelio Ranzato

  • The Wikipedia XML corpus

    Ludovic Denoyer;Patrick Gallinari

  • Fader Networks:Manipulating Images by Sliding Attributes

    Guillaume Lample;Guillaume Lample;Neil Zeghidour;Nicolas Usunier;Antoine Bordes

  • Word Translation Without Parallel Data

    Alexis Conneau;Guillaume Lample;Marc'Aurelio Ranzato;Ludovic Denoyer

  • Multiple-Attribute Text Rewriting.

    Guillaume Lample;Sandeep Subramanian;Eric Michael Smith;Ludovic Denoyer

  • Unsupervised Machine Translation Using Monolingual Corpora Only

    Guillaume Lample;Alexis Conneau;Ludovic Denoyer;Marc'Aurelio Ranzato

  • Temporal link prediction by integrating content and structure information

    Sheng Gao;Ludovic Denoyer;Patrick Gallinari

  • Bayesian network model for semi-structured document classification

    Ludovic Denoyer;Patrick Gallinari

  • Learning social network embeddings for predicting information diffusion

    Simon Bourigault;Cedric Lagnier;Sylvain Lamprier;Ludovic Denoyer

  • Learning latent representations of nodes for classifying in heterogeneous social networks

    Yann Jacob;Ludovic Denoyer;Patrick Gallinari

  • Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents

    Ludovic Denoyer;Patrick Gallinari

  • Unsupervised Question Answering by Cloze Translation

    Patrick S. H. Lewis;Ludovic Denoyer;Sebastian Riedel

  • Predicting information diffusion in social networks using content and user's profiles

    Cédric Lagnier;Ludovic Denoyer;Eric Gaussier;Patrick Gallinari

  • Unsupervised Object Segmentation by Redrawing

    Mickaël Chen;Thierry Artières;Ludovic Denoyer

  • Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks

    Tom Veniat;Ludovic Denoyer

  • Multiple-Attribute Text Style Transfer.

    Sandeep Subramanian;Guillaume Lample;Eric Michael Smith;Ludovic Denoyer

  • HMM-based passage models for document classification and ranking

    Ludovic Denoyer;Hugo Zaragoza;Patrick Gallinari

  • Large Memory Layers with Product Keys

    Guillaume Lample;Alexandre Sablayrolles;Marc'Aurelio Ranzato;Ludovic Denoyer

Frequent Co-Authors

Patrick Gallinari
Patrick Gallinari Sorbonne University
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Alexis Conneau
Alexis Conneau Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)
Sebastian Riedel
Sebastian Riedel University College London
Alessandro Lazaric
Alessandro Lazaric Facebook (United States)
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Hervé Jégou
Hervé Jégou Facebook (United States)
Antoine Bordes
Antoine Bordes Facebook (United States)
Fabrizio Silvestri
Fabrizio Silvestri Sapienza University of Rome

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