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Ludovic Denoyer

Ludovic Denoyer

Ludovic Denoyer publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ludovic Denoyer sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

The last bar groups every scientist with 991 publications or more.

Ludovic Denoyer D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ludovic Denoyer sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

The last bar groups every scientist with 131 D-Index or more.

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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