Philippe Flores

GIPSA-lab, Grenoble, France.

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Room B371

Gipsa-Lab, 11 Rue des Mathématiques

Saint-Martin-d'Hères, France

Hello and Welcome !

I am a Postdoc researcher at GIPSA-Lab since June 2024. I am a member of the GAIA department, focusing on methods for bivaritate signal processing with geometrical tools, information theory and statistics. My work at GIPSA consists in developing methods applied to gravitational waves data analysis using bivariate signal processing and polarization.

I recently defended my PhD in April 2024 at CRAN in the SiMul team that works on signal processing and multi-dimensional data science. My thesis subject lied on the estimation of high dimensional probability density functions with low rank-tensors models with application to cancer cell characterization.

My research interests include signal processing, tensor decompositions, bivariate signals, low-rank models.

news

Sep 4, 2025 Check out our latest submission on ArXiV: two papers on PMF estimation. Part I introduces a coupled tensor method called PCTF3D and Part II examines the identifiability conditions around PCTF3D’s new coupled approach.
Jun 8, 2025 Participation at the 2025 edition of the Statistical Signal Processing workshop. Check out our paper on low-rank approximation of bivariate signal with applications to gravitational wave ringdown analysis.
Nov 26, 2024 Partcipation of the LORAINNE’24 workshop on LOw-Rank Approximations and their Interactions with Neural NEtworks in Nancy.
Jun 3, 2024 Start of a Postdoc on gravitational waves detection and bivariate signal processing at Gipsa-Lab in Grenoble.
Apr 16, 2024 PhD defense on tensors for PMF estimation for flow cytometry data analysis.

selected publications

  1. Coupled tensor factorization for flow cytometry data analysis
    Philippe Flores, Guillaume Harlé, Anne-Béatrice Notarantonio, Konstantin Usevich, and 4 more authors
    In 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022
  2. Damped ellipse decomposition for bivariate signals
    Philippe Flores, Julien Flamant, Pierre-Olivier Amblard, and Nicolas Le Bihan
    In 2025 IEEE Statistical Signal Processing Workshop, 2025