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Computer Science

D-Index
31
Citations
4639
World Ranking
13573
National Ranking
357

Overview

Pierre Borgnat is affiliated with the École Normale Supérieure de Lyon in France and has contributed extensively to research in computer science and physics and astronomy. Their work spans various subfields including artificial intelligence, statistical and nonlinear physics, molecular biology, cognitive neuroscience, and computer vision and pattern recognition.

The scientist's research topics cover a range of themes such as complex network analysis techniques, advanced graph neural networks, functional brain connectivity studies, gene expression and cancer classification, bioinformatics and genomic networks, meteorological phenomena and simulations, and climate variability and models.

Among notable recent publications are:

  • Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data (2023), published in Physical Review Fluids
  • Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization (2020), published in PLoS ONE
  • Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets (2022), published in Applied and Computational Harmonic Analysis
  • Variational graph autoencoders for multiview canonical correlation analysis (2021), published in Signal Processing
  • Deep Learning-Based Extreme Heatwave Forecast (2022), published in Frontiers in Climate

Borgnat frequently publishes in venues such as arXiv, PLoS ONE, Physical Review Fluids, Applied and Computational Harmonic Analysis, and Signal Processing. The majority of publications appear on arXiv, with at least eleven entries.

Collaborations form a significant part of Borgnat's research activity. Frequent co-authors include:

  • Patrice Abry
  • Rémi Gribonval
  • Paulo Gonçalvès
  • Pablo Jensen
  • Yacouba Kaloga

Best Publications

  • MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking

    Romain Fontugne;Pierre Borgnat;Patrice Abry;Kensuke Fukuda

  • SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE

    Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry

  • Seven Years and One Day: Sketching the Evolution of Internet Traffic

    P. Borgnat;G. Dewaele;K. Fukuda;P. Abry

  • Time-Frequency Energy Distributions Meet Compressed Sensing

    Patrick Flandrin;Pierre Borgnat

  • Non-Gaussian and Long Memory Statistical Characterizations for Internet Traffic with Anomalies

    A. Scherrer;N. Larrieu;P. Owezarski;P. Borgnat

  • Graph Wavelets for Multiscale Community Mining

    Nicolas Tremblay;Pierre Borgnat

  • Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures

    Guillaume Dewaele;Kensuke Fukuda;Pierre Borgnat;Patrice Abry

  • Testing Stationarity With Surrogates: A Time-Frequency Approach

    Pierre Borgnat;Patrick Flandrin;Paul Honeine;Cédric Richard

  • The Sliding Singular Spectrum Analysis: A Data-Driven Nonstationary Signal Decomposition Tool

    Jinane Harmouche;Dominique Fourer;Francois Auger;Pierre Borgnat

  • Description and simulation of dynamic mobility networks

    A. Scherrer;P. Borgnat;E. Fleury;J. L. Guillaume

  • From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset

    Marie Vogel;Ronan Hamon;Guillaume Lozenguez;Luc Merchez

  • Strip, bind, and search: a method for identifying abnormal energy consumption in buildings

    Romain Fontugne;Jorge Ortiz;Nicolas Tremblay;Pierre Borgnat

  • Trend filtering via empirical mode decompositions

    Azadeh Moghtaderi;Patrick Flandrin;Pierre Borgnat

  • Subgraph-Based Filterbanks for Graph Signals

    Nicolas Tremblay;Pierre Borgnat

  • Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections

    Romain Fontugne;Patrice Abry;Kensuke Fukuda;Darryl Veitch

  • Design of Graph Filters and Filterbanks

    Nicolas Tremblay;Paulo Gonçalves;Pierre Borgnat

  • Investigating self-similarity and heavy-tailed distributions on a large-scale experimental facility

    Patrick Loiseau;Paulo Gonçalves;Guillaume Dewaele;Pierre Borgnat

  • Revisiting an old friend: on the observability of the relation between long range dependence and heavy tail

    Patrice Abry;Pierre Borgnat;Fabio Ricciato;Antoine Scherrer

  • From Stationarity to Self-similarity, and Back: Variations on the Lamperti Transformation

    Patrick Flandrin;Pierre Borgnat;Pierre-Olivier Amblard

  • Stochastic discrete scale invariance

    P. Borgnat;P. Flandrin;P.-O. Amblard

  • Online Empirical Mode Decomposition

    Romain Fontugne;Pierre Borgnat;Patrick Flandrin

Frequent Co-Authors

Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Patrick Flandrin
Patrick Flandrin École Normale Supérieure de Lyon
Cedric Richard
Cedric Richard Université Côte d'Azur
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Darryl Veitch
Darryl Veitch University of Technology Sydney
Ashish Bhaskar
Ashish Bhaskar Queensland University of Technology
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Alain Barrat
Alain Barrat Centre de Physique Théorique
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Benjamin Audit
Benjamin Audit École Normale Supérieure de Lyon

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