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FNRS Senior Research Associate and Professor

UCLouvain, Belgium

Biography

I am a Professor and FNRS Senior Research Associate at the Image and Signal Processing Group (ISPGroup), in the Mathematical engineering (INMA) department of the ICTEAM institute at UCLouvain, Belgium. My main research activities focus on compressive sensing (theory and applications), inverse problems solving in optics, astronomy and biomedical sciences, compressive learning and data sciences, sparse signal representations and other low-complexity signal priors.

Interests

  • Inverse Problems in Optics, Astronomy, and Biomedical Sciences

  • Compressive Sensing and Computational Imaging

  • Compressive Learning and Data Sciences

  • Image and Signal Processing

Education

  • PhD in Mathematical Physics, 2004

    UCLouvain, Belgium

  • MSc in Mathematical Physics, 1998

    UCLouvain, Belgium

  • BSc in Physics, 1996

    UCLouvain, Belgium

Appointments

  • IEEE Transactions on Signal Processing - Associate Editor (2022-now)

  • EURASIP Journal on Advances in Signal Processing - Associate Editor (2020-2022)

  • EURASIP Signal and Data Analytics for Machine Learning - Technical Area Committee member

Events

Recent & upcoming talks, seminars, …

"Learning to Reconstruct Signals From Binary Measurements"
May 21, 2024 Machine Learning and Signal Processing Seminars ENS Lyon, France
self-supervised learning one-bit compressive sensing learning prior learning signal set error bounds
Slides
Project QuadSense: postdoc opening (updated deadline $\to$ 30/9/24)!
May 15, 2024
postdoc opening quadsense project fnrs
INMA Seminar: "Learning to Reconstruct Signals From Binary Measurements"
Mar 5, 2024 INMA Seminars Louvain-La-Neuve, Belgium
self-supervised learning one-bit compressive sensing learning prior learning signal set error bounds
Slides
Visiting professor in ENS Lyon, France
Oct 22, 2023 — Nov 4, 2023 ENS Lyon, France
scientific stay collaboration
Rank-one projection models in optics: from lensless interferometry to optical sketching
Sep 11, 2023 — Frugalité et apprentissage machine ENS Lyon, France
invited keynote rank-one projection optical processing unit optical fiber interferometry
Slides
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Posts

Last 3 posts …

ROP inception

Here is a new short preprint: “ROP inception: signal estimation with quadratic random sketching”, available here and on arXiv. This is the first work of Rémi Delogne, carried out in collaboration with Vincent Schellekens and me.
May 19, 2022 4 min read
ROP inception

There is time for dithering in a quantized world of reduced dimensionality!

I’m glad to announce here a new work made in collaboration with Valerio Cambareri (UCL, Belgium) on quantized embeddings of low-complexity vectors, such as the set of sparse (or compressible) signals in a certain basis/dictionary, the set of low-rank matrices or vectors living in (a union of) subspaces.
Jul 6, 2016 12 min read
There is time for dithering in a quantized world of reduced dimensionality!

Quasi-isometric embeddings of vector sets with quantized sub-Gaussian projections

\(\newcommand{\cl}{\mathcal}\newcommand{\bb}{\mathbb}%\) Last January, I was honored to be invited in RWTH Aachen University by Holger Rauhut and Sjoerd Dirksen to give a talk on the general topic of quantized compressed sensing.
Apr 28, 2015 12 min read
Quasi-isometric embeddings of vector sets with quantized sub-Gaussian projections
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Most recent publications

(preprints, conference & journal papers)

Hazan Daglayan, Simon Vary, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Nicolas Gillis, Laurent Jacques, Valentin Leplat, P. -A. Absil (2024). An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection – The AMAT Algorithm. Astronomy and Astrophysics (A&A).

arXiv

Olivier Leblanc, Yves Wiaux, Laurent Jacques (2024). Compressive radio-interferometric sensing with random beamforming as rank-one signal covariance projections. Submitted to Transactions on Computational Imaging.

arXiv

Victor Sechaud, Laurent Jacques, Patrice Abry, Julián Tachella (2024). Equivariance-based self-supervised learning for audio signal recovery from clipped measurements. 32nd European Signal Processing Conference (EUSIPCO).

Cite arXiv DIAL

Jérome Eertmans, Laurent Jacques, Claude Oestges (2024). Fully Differentiable Ray Tracing via Discontinuity Smoothing for Radio Network Optimization. EuCAP 2024.

Cite arXiv DIAL

Gilles Monnoyer, Thomas Feuillen, Maxime Drouguet, Laurent Jacques, Luc Vandendorpe (2024). Grid Hopping: Accelerating Direct Estimation Algorithms for Multistatic FMCW Radar. IEEE Transactions on Signal Processing.

Cite DOI DIAL

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