AI STAR

Contribution List

1. Welcome Notes

Prof. Lina Necib (Physics Department)

11/4/24, 9:25 AM

3. Talk 2: Accelerated GW parameter estimation using likelihood-free inference

Deep Chatterjee (Massachusetts Institute of Technology)

11/4/24, 9:35 AM

4. Talk 3: Unlocking the scientific potential of astronomical surveys with machine learning

Jeroen Audenaert (Massachusetts Institute of Technology)

11/4/24, 11:15 AM

5. Talk 4: Conditional Diffusion Models: A New Frontier in Image Systematics Correction" or "From Squiggles to Signals: Detecting Anomalies in Time-Domain Astronomy"

Daniel Muthukrishna (Massachusetts Institute of Technology)

11/4/24, 11:40 AM

8. Talk 5: (Machine) Learning of Dark Matter

Prof. Lina Necib (Physics Department)

11/4/24, 12:05 PM

6. Talk 6: AI-based pipelines for real-time gravitational-wave data analysis

Philip Harris (Massachusetts Institute of Technology)

11/4/24, 1:55 PM

7. Talk 7: Automated, Multi-Modal, Hierarchical Transient Science in the Rubin Era

Alexander Gagliano (Massachusetts Institute of Technology)

11/4/24, 2:20 PM

2. Talk 1: Computer Vision and Multi-Modal Data Analysis in AI

Prof. Margrit Betke (Boston University)