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Home AstroAI Workshop 2024
AstroAI Workshop 2024

2024 Workshop

AstroAI Workshop 2024

Details Invited Speakers Abstracts Schedule Venue Code of Conduct

2024 program directory

Meet the voices that shaped the workshop

Explore the keynote perspectives and focused research talks from five days of shared learning at the intersection of AI and astrophysics.

4
Keynotes
4
Spotlights
Browse Keynotes Spotlights

Big-picture perspectives

Keynote speakers

4 sessions
Keynote Joshua Speagle University of Toronto AI SpAI with My (Little?) AI: Applications of Statistical Learning in Modern Astrophysics Keynote Melanie Weber Harvard University Geometric Machine Learning and Applications in the Sciences Keynote Tamara Broderick Massachusetts Institute of Technology An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions? Keynote Yuan-Sen Ting The Ohio State University Expediting Astronomical Discovery with Large Language Models: Progress, Challenges, and Future Directions

Focused ideas

Spotlight speakers

4 sessions
Spotlight Aizhan Akhmetzhanova Data Compression and Inference in Cosmology with Self-Supervised Machine Learning Spotlight Carol Cuesta-Lazaro Big data cosmology meets AI Spotlight Gemma Zhang Accelerating astrophysical data analysis with machine learning Spotlight Laura Domine Multi-modal generalized class discovery for scalable autonomous all-sky surveys

See it in context

Follow the complete five-day program

See when each keynote and spotlight session took place.

View schedule

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