ML4Astro — International Conference on Machine Learning for Astrophysics

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.

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