AstroAI Workshop 2025
Invited Speakers:
Keynote Speakers:
- Viviana Acquaviva (CUNY NYC College of Technology, Columbia University): Interpretability tools in scientific Machine Learning
- David Alvarez-Melis (Harvard University): TBA
- Bill Freeman (Massachusetts Institute of Technology): Exploiting the independence of the image from the sensor
- Marc Huertas-Company (Instituto de Astrofísica de Canarias, University of Paris): Representation learning and simulation based inference for astrophysics (galaxy formation)
- Elisabeth Sylvan (Brown University, Rhode Island School of Design, Technical University of Munich): Responsible AI in Research
- Ashley Villar (Harvard University): TBA
Tutorials Led By:
- Philipp Frank (Stanford University): Probabilistic Inference in Astrophysics: Variational, Flow-Based, and Diffusion Models
- Core Park (Harvard University): TBA
- Ashley Villar (Harvard University): TBA
Spotlight Speakers:
- Kaylee De Soto (Harvard University): TBA
- Alan Hsu (Harvard University): Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling
- Nayantara Mudur (Harvard University): Probing Generative Models for Inference in Cosmology
- Daniel Muthukrishna (MIT, AstroAI): Causally Motivated Foundation Models: Disentangling Physics from Systematics
- Matthew O'Callaghan (University of Cambridge): Robust Simulation-Based Inference: Bridging the Gap Between Simulation and Observation.