May 30, 2022 to June 1, 2022
Europe/Brussels timezone

Bring together researchers actively involved in the fields of machine learning applications to astrophysics use cases is the aim of the International Conference on Machine Learning for Astrophysics - ML4Astro.

In the view of the forthcoming Big Data era for the astronomy community, the conference focuses on challenges coming from the application of ML/DL methods to open problems in astrophysics: novel AI techniques will be presented and  joint discussions on their use with observational data will be fostered.  A special session on the Square Kilometre Array and its precursors/pathfinders is foreseen. 

Participants are invited to submit an abstract for an Oral Presentation or a Poster Presentation on the topics of interest for the conference. Conference Proceedings in Springer book series ASSP are foreseen both for Oral and Poster accepted contributions.



  • Supervised/Unsupervised/Semi-supervised Learning

  • Deep learning

  • Active Learning

  • Image segmentation, object detection and classification

  • Anomaly discovery

  • Data preparation, generation and augmentation

  • Time series analysis, transients

  • Classification and regression

  • Data mining

  • Software tools and services for machine learning

  • Computing infrastructures and devices for Artificial Intelligence


Scientific Domains:

  • Radioastronomy

  • Observational Astrophysics 

  • Time Domain Astronomy

  • High-Energy Astrophysics

  • Astroparticle Physics

  • Galactic and Extragalactic Science

  • Cosmology and numerical simulations

Il Principe Hotel Via Alessi, 24, 95124 Catania CT, Italy
Go to map