AI STAR

Monday Nov 4, 2024, 8:30 AM → 6:00 PM America/New_York

4-349 (MIT)

Ana Gabela, Lina Necib (Physics Department)

8:30 AM → 9:25 AM Morning Discussion: Registration and Breakfast

Convener: Prof. Lina Necib (Physics Department)

9:25 AM → 9:35 AM Welcome Notes

Speaker: Prof. Lina Necib (Physics Department)

9:35 AM → 10:00 AM 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 AM → 10:15 AM Coffee Break

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

Convener: Prof. Lina Necib (Physics Department)

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

Speaker: Jeroen Audenaert (Massachusetts Institute of Technology)

11:40 AM → 12:05 PM 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 PM → 12:30 PM Talk 5: (Machine) Learning of Dark Matter

Speaker: Prof. Lina Necib (Physics Department)

12:30 PM → 1:55 PM Lunch

1:55 PM → 2:20 PM 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

2:20 PM → 2:45 PM Talk 7: Automated, Multi-Modal, Hierarchical Transient Science in the Rubin Era

Speaker: Alexander Gagliano (Massachusetts Institute of Technology)

AISTAR_Nov2024.key

2:45 PM → 3:45 PM Afternoon Discussion: Discussion 2

Convener: Prof. Lina Necib (Physics Department)

3:45 PM → 4:05 PM Coffee Break

4:05 PM → 5:05 PM Afternoon Discussion: Finalized Group Discussion

Convener: Prof. Lina Necib (Physics Department)