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.
The 2nd edition of the International Conference on Machine Learning for Astrophysics (ML4ASTRO2) is now coming!!
ML4ASTRO2 -- Catania, 8-12 July 2024
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
