The Formation and Evolution Massive Galaxies in the Cosmos and their Circumgalactic Environment.

Friday 31 May 2024

Title : Physical Models and Machine & Deep Learning for Scientific Imaging

Speaker : Julien Mairal (INRIA Grenoble)

Abstract :

Deep learning has revolutionized image processing and is often considered to outperform classical approaches based on accurate modeling of the image formation process. In this presentation, we will discuss the interplay between model-based and learning-based paradigms, and show that hybrid approaches show great promises for scientific imaging, where interpretation and robustness to real-world degradation is important. We will present two applications on super-resolution and high-dynamic range imaging, and exoplanet detection from direct imaging at high contrast.

Short bio : Julien Mairal is a research director at Inria (the French National Institute for Research in Computer Science and Automation). His research interests include machine learning, deep learning, computer vision, mathematical optimization, and statistical image and signal processing. His research work has applications in several fields, including natural language processing, robotics, neuroimaging, computational biology, genomics, remote sensing, hyperspectral imaging, and astrophysics.