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Laurent Daudet 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 Laurent Daudet 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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.

Laurent Daudet 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 Laurent Daudet sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Laurent Daudet is affiliated with Université Paris Cité in France. Their research primarily spans the fields of engineering and computer science, with a particular focus on electrical and electronic engineering, artificial intelligence, computational mechanics, signal processing, and molecular biology.

The scientist has contributed extensively to a range of interdisciplinary topics, including:

  • Neural Networks and Reservoir Computing
  • Optical Network Technologies
  • Photonic and Optical Devices
  • Advanced Adaptive Filtering Techniques
  • Speech and Audio Processing
  • Acoustic Wave Phenomena Research
  • Gene Regulatory Network Analysis

Laurent Daudet's publication record includes papers published in notable venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, Optics Express, Photoniques, and HAL (Le Centre pour la Communication Scientifique Directe). These venues reflect the interdisciplinary nature of their work, spanning both theoretical and applied domains.

Recent papers highlight key areas of exploration and are presented as follows:

  • Optimizing Source and Sensor Placement for Sound Field Control: An Overview, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment, 2020, arXiv (Cornell University)
  • High-fidelity and large-scale reconfigurable photonic processor for NISQ applications, 2022, Optics Express
  • Light-in-the-loop: using a photonics co-processor for scalable training of neural networks, 2020, arXiv (Cornell University)
  • Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment, 2024, arXiv (Cornell University)

The collaboration network of Laurent Daudet includes frequent coauthors such as Igor Carron, Sylvain Gigan, Iacopo Poli, Florent Krząkała, and Julien Launay. These collaborations suggest active engagement with experts in both photonics and neural network fields.

Laurent Daudet's work addresses complex challenges related to sound field control, photonic processors for quantum and neural network applications, and advanced training architectures utilizing optical computation. This research intersects hardware development, adaptive signal processing, and machine learning paradigms.

Best Publications

  • Machine learning and the physical sciences

    Giuseppe Carleo;J. Ignacio Cirac;Kyle Cranmer;Laurent Daudet

  • A tutorial on onset detection in music signals

    J.P. Bello;L. Daudet;S. Abdallah;C. Duxbury

  • Sparse Representations in Audio and Music: From Coding to Source Separation

    Mark D Plumbley;Thomas Blumensath;Laurent Daudet;Remi Gribonval

  • Imaging with nature: compressive imaging using a multiply scattering medium.

    Antoine Liutkus;David Martina;Sébastien Popoff;Gilles Chardon

  • Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques

    Angélique Drémeau;Antoine Liutkus;David Martina;Ori Katz

  • Near-field acoustic holography using sparse regularization and compressive sampling principles.

    Gilles Chardon;Laurent Daudet;Antoine Peillot;François Ollivier

  • Parametric Dictionary Design for Sparse Coding

    M. Yaghoobi;L. Daudet;M.E. Davies

  • Kernel Additive Models for Source Separation

    Antoine Liutkus;Derry Fitzgerald;Zafar Rafii;Bryan A Pardo

  • Sparse and structured decompositions of signals with the molecular matching pursuit

    L. Daudet

  • Hybrid representations for audiophonic signal encoding

    L. Daudet;B. Torrésani

  • Random projections through multiple optical scattering: Approximating Kernels at the speed of light

    A. Saade;F. Caltagirone;I. Carron;L. Daudet

  • Methodology and Tools for the evaluation of automatic onset detection algorithms in music.

    Laurent Daudet;Gaël Richard;Pierre Leveau

  • Instrument-Specific Harmonic Atoms for Mid-Level Music Representation

    P. Leveau;E. Vincent;G. Richard;L. Daudet

  • Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity

    Cagdas Bilen;Gilles Puy;Rémi Gribonval;Laurent Daudet

  • Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio

    C. Fevotte;B. Torresani;L. Daudet;S.J. Godsill

  • Automatic Piano Transcription Using Frequency and Time-Domain Information

    J.P. Bello;L. Daudet;M.B. Sandler

  • MDCT analysis of sinusoids: exact results and applications to coding artifacts reduction

    L. Daudet;M. Sandler

  • Boltzmann Machine and Mean-Field Approximation for Structured Sparse Decompositions

    A. Dremeau;C. Herzet;L. Daudet

  • Union of MDCT Bases for Audio Coding

    E. Ravelli;G. Richard;L. Daudet

  • SparseRepresentationsinAudio and Music: From Coding to Source Separation The fidelity of music and other audio can usually be accurately and rapidly predicted from a relatively small sample of signal information.

    Mark D. Plumbley;Thomas Blumensath;Laurent Daudet;Remi Gribonval

Frequent Co-Authors

Gael Richard
Gael Richard Télécom ParisTech
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Florent Krzakala
Florent Krzakala École Polytechnique Fédérale de Lausanne
Mark Sandler
Mark Sandler Google (United States)
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Bertrand David
Bertrand David Télécom ParisTech
Roland Badeau
Roland Badeau Télécom ParisTech
Juan Pablo Bello
Juan Pablo Bello New York University
Albert Cohen
Albert Cohen Google (United States)
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne

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