Professor Jean-Luc Starck, CosmoStat laboratory at the Institute of Research into the Fundamental Laws of the Universe, Département d'Astrophysique, CEA-Saclay, France, will present on Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics, exploring how inverse problems in astrophysics, such as image reconstruction or gravitational lensing data analysis, have traditionally depended on sparsity-based methods to reconstruct underlying physical structures from incomplete or noisy data. He will explain how deep learning techniques are now superseding these traditional approaches, delivering remarkable gains in both accuracy and efficiency.
The lecture is organized by Professor Gitta Kutyniok, Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence and co-hosted by Prof. Dr. Jochen Weller, with support of BAIOSPHERE, the Bavarian AI Network.
You can find more information on the AI-HUB@LMU website.
The Munich AI Lectures are a joint initiative of baiosphere, Bavarian Academy of Sciences and Humanities (BAdW), Helmholtz Munich, Ludwig-Maximilians-Universität München (LMU), Technische Universität München (TUM), AI-HUB@LMU, ELLIS Chapter Munich, Konrad Zuse School of Excellence in Reliable AI (relAI), Munich Center for Machine Learning (MCML), Munich Data Science Institute (MDSI) at TUM and Munich Institute of Robotics and Machine Intelligence (MIRMI), coordinated by the Bavarian AI Agency. The aim is to attract renowned AI researchers to Munich. To keep up to date with the latest Munich AI Lectures, follow us on LinkedIn or visit the lecture series’ website.