33 citations
- Institut de Mathématiques de ToulouseFR9 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR6 papers
- Centre Inria de SaclayFR5 papers
- Laboratoire Paul PainlevéFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR3 papers
- Université de ToulouseFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Institut de Mathématiques de BordeauxFR2 papers
- Institut Technique de l'AvicultureFR2 papers
- CEA Paris-SaclayFR1 paper
15 papers
On the linear convergence rates of exchange and continuous methods for total variation minimization
Axel Flinth, Frédéric de Gournay, Pierre Weiss
We analyze an exchange algorithm for the numerical solution total-variation regularized inverse problems over the space M() of Radon measures on a subset of R d. Our main re…
A scalable estimator of sets of integral operators
Valentin Debarnot, Paul Escande, Pierre Weiss
We propose a scalable method to find a subspace of low-rank tensors that simultaneously approximates a set of integral operators. The method can be seen as…
Simple mechanical cues could explain adipose tissue morphology
Diane Peurichard, Fanny Delebecque, Anne Lorsignol +5
The mechanisms by which organs acquire their functional structure and realize its maintenance (or homeostasis) over time are still largely unknown. In this paper, we investigate th…
Multiview Attenuation Estimation and Correction
Valentin Debarnot, Jonas Kahn, Pierre Weiss
Measuring attenuation coefficients is a fundamental problem that can be solved with diverse techniques such as X-ray or optical tomography and lidar. We propose a novel approach ba…
A projection algorithm on measures sets
Nicolas Chauffert, Philippe Ciuciu, Jonas Kahn +1
We consider the problem of projecting a probability measure on a set of Radon measures. The projection is defined as a solution of the following variational pr…
Compressed sensing with structured sparsity and structured acquisition
Claire Boyer, Jérémie Bigot, Pierre Weiss
Compressed Sensing (CS) is an appealing framework for applications such as Magnetic Resonance Imaging (MRI). However, up-to-date, the sensing schemes suggested by CS theories are m…