58 citations · 304 across the 27 of their papers we have counts for
31 papers
Bias versus variance when fitting multi-species molecular lines with a non-LTE radiative transfer model
Antoine Roueff, Jérôme Pety, Maryvonne Gerin +28
Robust radiative transfer techniques are requisite for efficiently extracting the physical and chemical information from molecular rotational lines.We study several hypotheses that…
Benchmarking multi-component signal processing methods in the time-frequency plane
Juan M. Miramont, Rémi Bardenet, Pierre Chainais +1
Signal processing in the time-frequency plane has a long history and remains a field of methodological innovation. For instance, detection and denoising based on the zeros of the s…
Signal reconstruction using determinantal sampling
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
We study the approximation of a square-integrable function from a finite number of evaluations on a random set of nodes according to a well-chosen distribution. This is particularl…
Neural network-based emulation of interstellar medium models
Pierre Palud, Lucas Einig, Franck Le Petit +22
The interpretation of observations of atomic and molecular tracers in the galactic and extragalactic interstellar medium (ISM) requires comparisons with state-of-the-art astrophysi…
Deep learning denoising by dimension reduction: Application to the ORION-B line cubes
Lucas Einig, Jérôme Pety, Antoine Roueff +29
Context. The availability of large bandwidth receivers for millimeter radio telescopes allows the acquisition of position-position-frequency data cubes over a wide field of view an…
Normalizing flow sampling with Langevin dynamics in the latent space
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Normalizing flows (NF) use a continuous generator to map a simple latent (e.g. Gaussian) distribution, towards an empirical target distribution associated with a training data set.…