2024 Workshop
AstroAI Workshop 2024
Invited Speakers:
Keynote Speakers:
- Tamara Broderick (Massachusetts Institute of Technology): An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?
- Joshua Speagle (University of Toronto): AI SpAI with My (Little?) AI: Applications of Statistical Learning in Modern Astrophysics
- Yuan-Sen Ting (The Ohio State University): Expediting Astronomical Discovery with Large Language Models: Progress, Challenges, and Future Directions
- Melanie Weber (Harvard University): Geometric Machine Learning and Applications in the Sciences
Spotlight Speakers:
- Aizhan Akhmetzhanova: Data Compression and Inference in Cosmology with Self-Supervised Machine Learning
- Carol Cuesta-Lazaro: Big data cosmology meets AI
- Laura Domine: Multi-modal generalized class discovery for scalable autonomous all-sky surveys
- Gemma Zhang: Accelerating astrophysical data analysis with machine learning