activity
20232025
most citedFully Reversing the Shoebox Image Source Method: From Impulse Responses to Room Parameters

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2025

Hearing the Shape of a Cuboid Room Using Sparse Measure Recovery

Antoine Deleforge, Cédric Foy, Yannick Privat +1

This article explores a variant of Kac's famous problem, "Can one hear the shape of a drum?", by addressing a geometric inverse problem in acoustics. Our objective is to reconstruc…

quant-ph2025

Quantum Optimal Control Using MAGICARP: Combining Pontryagin's Maximum Principle and Gradient Ascent

Denis Janković, Jean-Gabriel Hartmann, Paul-Louis Etienney +3

We introduce the MAGICARP algorithm, a numerical optimization method for quantum optimal control problems that combines the structure provided by Pontryagin's Maximum Principle (PM…

math.OC2024★ 2 cited

Volume-preserving geometric shape optimization of the Dirichlet energy using variational neural networks

Amaury Bélières--Frendo, Emmanuel Franck, Victor Michel-Dansac +1

In this work, we explore the numerical solution of geometric shape optimization problems using neural network-based approaches. This involves minimizing a numerical criterion that…

cs.SD2024★ 4 cited

Fully Reversing the Shoebox Image Source Method: From Impulse Responses to Room Parameters

Tom Sprunck, Antoine Deleforge, Yannick Privat +1

We present an algorithm that fully reverses the shoebox image source method (ISM), a popular and widely used room impulse response (RIR) simulator for cuboid rooms introduced by Al…

math.OC2023

Optimal scenario for road evacuation in an urban environment

Mickael Bestard, Emmanuel Franck, Laurent Navoret +1

How to free a road from vehicle traffic as efficiently as possible and in a given time, in order to allow for example the passage of emergency vehicles? We are interested in this q…