Skip to content
CosmoStat
  • Research
    • Research Topics
    • Research Highlights
    • Projects
  • For Scientists
    • Publications
    • Software
    • Products
    • Tutorials
  • Communication
    • Outreach
    • Education Activities
  • People
  • Events
  • Jobs
  • Contact

Machine Learning for Astrophysics 2022

Posted on July 22, 2022October 9, 2023 by Samuel Farrens

Machine Learning for Astrophysics

Date:  July 22, 2022

Venue: Baltimore, MD, USA

Website: https://ml4astro.github.io/icml2022/

Posted in Education, Events, News, Schools
Post navigation
UNIONS: The impact of systematic errors on weak-lensing peak counts →
← Heraklion: A “Titan” from ITE brings to Crete the “ERA seat” of astroinformatics
Theme by Out the Box