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.
Die Veranstaltung findet in englischer Sprache statt. Weitere Informationen erhalten Sie auf der Website von AI-HUB@LMU.
Die Munich AI Lectures sind eine gemeinsame Initiative von baiosphere, Bayerischer Akademie der Wissenschaften (BAdW), Helmholtz München, Ludwig-Maximilians-Universität München (LMU), Technischer 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) und Munich Institute of Robotics and Machine Intelligence (MIRMI), koordiniert von der Bayerischen KI-Agentur. Ziel ist es, Koryphäen der KI-Forschung nach München zu bringen und den Austausch zu spannenden KI-Themen zu fördern.