AI STAR

Monday 4 Nov 2024, 08:30 → 18:00 America/New_York

4-349 (MIT)

Ana Gabela, Lina Necib (Physics Department)

08:30 → 09:25 Morning Discussion: Registration and Breakfast¶

Convener: Prof. Lina Necib (Physics Department)

09:25 → 09:35 Welcome Notes¶

Speaker: Prof. Lina Necib (Physics Department)

09:35 → 10:00 Talk 2: Accelerated GW parameter estimation using likelihood-free inference¶

Speaker: Deep Chatterjee (Massachusetts Institute of Technology)

Accelerated GW parameter estimation using likelihood-free inference

10:00 → 10:15 Coffee Break

10:15 → 11:15 Morning Discussion: Discussion 1¶

Convener: Prof. Lina Necib (Physics Department)

11:15 → 11:40 Talk 3: Unlocking the scientific potential of astronomical surveys with machine learning¶

Speaker: Jeroen Audenaert (Massachusetts Institute of Technology)

11:40 → 12:05 Talk 4: Conditional Diffusion Models: A New Frontier in Image Systematics Correction" or "From Squiggles to Signals: Detecting Anomalies in Time-Domain Astronomy"¶

Speaker: Daniel Muthukrishna (Massachusetts Institute of Technology)

12:05 → 12:30 Talk 5: (Machine) Learning of Dark Matter¶

Speaker: Prof. Lina Necib (Physics Department)

12:30 → 13:55 Lunch

13:55 → 14:20 Talk 6: AI-based pipelines for real-time gravitational-wave data analysis¶

Speaker: Philip Harris (Massachusetts Institute of Technology)

PCH_GW_AISTAR_4_11.pdf

14:20 → 14:45 Talk 7: Automated, Multi-Modal, Hierarchical Transient Science in the Rubin Era¶

Speaker: Alexander Gagliano (Massachusetts Institute of Technology)

AISTAR_Nov2024.key

14:45 → 15:45 Afternoon Discussion: Discussion 2¶

Convener: Prof. Lina Necib (Physics Department)

15:45 → 16:05 Coffee Break

16:05 → 17:05 Afternoon Discussion: Finalized Group Discussion¶

Convener: Prof. Lina Necib (Physics Department)