Generative neural networks for parametrization in inverse methods: applications in astrophysics and geophysics In physical science, it is common to study the characteristics of an object that are not directly available but which certain effects within the physical system are observable. The observations can then be used to deduce the properties of the object of […]

Multiband image fusion under spectrally varying spatial blurs — Application to JWST data Multiband image fusion has been extensively studied in the literature of Earth observation. This task aims at recovering a multiband image of high spatial and high spectral resolutions from complementary measurements of lower spatial or spectral resolutions. While several methods developed in […]

New tools from wave topology for asteroseismology Asteroseismology studies waves in stars and uses them to infer what their internal structure is. Today, hundreds of stars of every kind show oscillations which allowed us to deduce their mass, radius, rotation rate, width of convective zone, etc. Wave topology proposes a new light under which to […]