AI STAR

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

4-349 (MIT)

Ana Gabela, Lina Necib (Physics Department)

Morning Discussion: Registration and Breakfast¶

Convener: Prof. Lina Necib (Physics Department)

1 Welcome Notes¶

Speaker: Prof. Lina Necib (Physics Department)

2 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 Coffee Break

Morning Discussion: Discussion 1¶

Convener: Prof. Lina Necib (Physics Department)

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

Speaker: Jeroen Audenaert (Massachusetts Institute of Technology)

4 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)

5 Talk 5: (Machine) Learning of Dark Matter¶

Speaker: Prof. Lina Necib (Physics Department)

12:30 Lunch

6 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

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

Speaker: Alexander Gagliano (Massachusetts Institute of Technology)

AISTAR_Nov2024.key

Afternoon Discussion: Discussion 2¶

Convener: Prof. Lina Necib (Physics Department)

15:45 Coffee Break

Afternoon Discussion: Finalized Group Discussion¶

Convener: Prof. Lina Necib (Physics Department)