The 3rd edition of the International Conference on Machine Learning for Astrophysics (ML4ASTRO3) aims to unite leading researchers actively engaged in applying machine learning to astrophysical studies. Following the success of the previous editions, this international conference is dedicated to exploring the challenges and opportunities presented by the impending Big Data era in astronomy.
Focusing on the integration of ML/DL techniques with astrophysics, the event will showcase cutting-edge AI methodologies tailored for addressing key open problems in this field. Engaging discussions will revolve around the innovative application of AI models to observational and simulation data.
The conference includes plenty of Oral Presentations and Poster Flash Talks encompassing a wide array of topics relevant to the intersection of machine learning and astrophysics.
Main Topic Areas:
Observational surveys across different wavelengths
Time domain
Galactic and extra-galactic science
Cosmology & Simulations
Astroparticles and high energy astrophysics
Generative AI for Astronomy
