Machine Learning for Astrophysics – ML4Astro

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.

DATE: 30 May (09:00) – 1 Jun (18:00)

Organizers & Sponsors: The ML4ASTRO Conference is organized by the National Institute for Astrophysics (INAF) in collaboration with the University of Catania, the University of Milano Bicocca, the Consorzio COMETA and the University of Malta. The event is sponsored by the H2020 NEANIAS project, the INAF PRIN CIRASA project and the MOSAICO project.

Scientific Organizing Committee (SOC): Filomena Bufano (INAF), co-chair; Simone Riggi (INAF), co-chair; Eva Sciacca (INAF), co-chair; Ugo Becciani (INAF); Andrea De Marco (University of Malta); Giuseppe Vizzari (Universita’ Milano Bicocca)

Local Organizing Committee (LOC): Cristobal Bordiu (INAF); Giulia Miceli (INAF); Teresa Pulvirenti (INAF); Fabio Vitello (INAF)

TOPICS: 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