21 citations · 45 across the 7 of their papers we have counts for
7 papers
Owl-z: a Bayesian tool to select z \geq 7 quasars
Meriam Ezziati, Roser Pello, Jean-Gabriel Cuby +9
This paper presents Owl-z, a Bayesian code aiming at identifying z \geq 7 quasars in wide field optical and near-infrared surveys. By construction,the code can also be used to sele…
CONCERTO: Extracting the power spectrum of the [C II ] emission line
M. Van Cuyck, N. Ponthieu, G. Lagache +21
CONCERTO is the first experiment to perform a [CII] line intensity mapping survey to target . Measuring the [CII] power spectrum allows us to study the role of dusty star-fo…
Supervised machine learning on Galactic filaments Revealing the filamentary structure of the Galactic interstellar medium
A. Zavagno, F. -X. Dupé, S. Bensaid +11
Context. Filaments are ubiquitous in the Galaxy, and they host star formation. Detecting them in a reliable way is therefore key towards our understanding of the star formation pro…
Kernelized multi-graph matching
François-Xavier Dupé, Rohit Yadav, Guillaume Auzias +1
Multigraph matching is a recent variant of the graph matching problem. In this framework, the optimization procedure considers several graphs and enforces the consistency of the ma…
Mapping individual differences in cortical architecture using multi-view representation learning
Akrem Sellami, François-Xavier Dupé, Bastien Cagna +4
In neuroscience, understanding inter-individual differences has recently emerged as a major challenge, for which functional magnetic resonance imaging (fMRI) has proven invaluable.…
Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
In this paper, we propose a Bayesian MAP estimator for solving the deconvolution problems when the observations are corrupted by Poisson noise. Towards this goal, a proper data fid…