activity
20142026
most citedModel Reduction from Partial Observations

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

math.ST2026

Information geometry of emergent symmetry quotients and their weak unfoldings

Arnaud Coatanhay, Arnaud Coatanay, Angélique Drémeau

A regular observed statistical model may converge to a limit in which a previously identifiable signed parameter becomes identifiable only modulo a reflection. We study the local i…

math.PR2026

Geometry and observability of latent texture-coherence diffusions in coherent sea-clutter radar observations

Arnaud Coatanhay, Angélique Drémeau

A coherent radar observes sea clutter through a non-injective multiplicative combination of latent texture and coherence variables. We study a class of partially observed slow--fas…

physics.ao-ph2026

A Wigner-based volumetric transport framework for paraxial waves in random media

Arnaud Coatanhay, Thomas Bonnafont, Angélique Dremeau

We develop a Wigner-based phase-space framework for mean paraxial wave propagation in random media. Starting from the random parabolic wave equation, we derive the exact evolution…

quant-ph2026

Stellar Braid Monodromy of Finite-Rank Non-Gaussian Photonic States

Arnaud Coatanhay, Angelique Dremeau

Finite-rank non-Gaussian bosonic states admit a holomorphic description in the Bargmann representation: after a zero-free Gaussian factor is separated off, their non-Gaussian struc…

quant-ph2026

CV-QKD over Turbulence Channels with Virtual Photon Subtraction and Quantum Multiple-Symbol Detection for Underwater Quantum Communications

Nour Rizk, Hesham S. Ibrahim, Angélique Drémeau +1

Continuous-variable quantum key distribution (CV-QKD) is a promising approach for secure underwater quantum communications (UQCs), where propagation loss, scattering, turbulence, a…

quant-ph2026

Non-Maximally Entangled States for Quantum Key Distribution in Underwater Channels: BBM92 Protocol via Kraus Operators

Nour Rizk, Angélique Drémeau, Arnaud Coatanhay

Underwater optical channels pose significant challenges to the security and reliability of quantum communication systems due to absorption and scattering. In this paper, we investi…

quant-ph2026

Performance Analysis of Underwater Quantum Key Distribution Protocols: BB84, SARG04, and BBM92

Nour Rizk, Angélique Drémeau, Arnaud Coatanhay

This study compares the quantum bit error rate (QBER) performance of BB84, SARG04, and the entanglement-based BBM92 protocol in non-turbulent underwater optical channels. Clear, co…

quant-ph2026

From State-Space Transport to Measurement-Aware Distinguishability in Quantum Sensing

Arnaud Coatanhay, Angélique Drémeau

Overlap-based distinguishability measures, such as fidelity- or Chernoff-type quantities, play a central role in quantum sensing and quantum illumination. In strongly lossy and flu…

eess.SP2020

Learning sparse structures for physics-inspired compressed sensing

Clément Dorffer, Thomas Paviet-Salomon, Gilles Le Chenadec +1

In underwater acoustics, shallow water environments act as modal dispersive waveguides when considering low-frequency sources. In this context, propagating signals can be described…

eess.SP2018

Efficient atom selection strategy for iterative sparse approximations

Clément Dorffer, Angélique Drémeau, Cedric Herzet

We propose a low-computational strategy for the efficient implementation of the "atom selection step" in sparse representation algorithms. The proposed procedure is based on simple…

math.NA2016★ 1 cited

Model Reduction from Partial Observations

C. Herzet, P. Héas, A. Drémeau

This paper deals with model-order reduction of parametric partial differential equations (PPDE). More specifically, we consider the problem of finding a good approximation subspace…

cs.IT2014

Relaxed Recovery Conditions for OMP/OLS by Exploiting both Coherence and Decay

Cédric Herzet, Angélique Drémeau, Charles Soussen

We propose extended coherence-based conditions for exact sparse support recovery using orthogonal matching pursuit (OMP) and orthogonal least squares (OLS). Unlike standard uniform…