AstroAI Workshop 2024

Monday, June 17th, 2024
9:00 am to 9:30 am	Welcome and coffee	Phillips Auditorium
9:30 am to 10:00 am	Opening Remarks: Cecilia Garraffo (Director of AstroAI)	Phillips Auditorium
10:00 am to 11:30 am	Keynote Speaker: Joshua Speagle (University of Toronto) Title: AI SpAI with My (Little?) AI: Applications of Statistical Learning in Modern Astrophysics	Phillips Auditorium
11:30 am to 12:00 pm	Break	Phillips Auditorium
12:00 pm to 1:00 pm	Contributed Talks: Stellar Astrophysics Speaker 1: Nolan Koblischke (SpectraFM: Tuning into Stellar Foundation Models) Speaker 2: Thibault Lechien (Accelerating neutron star light curve simulation and parameter inference through neural networks) Speaker 3: Daniel Muthukrishna (Modeling Image Systematics Using Conditional Diffusion Models) Speaker 4: Alexander Stone-Martinez (Improving Stellar Age Estimations with Normalizing Flows)	Phillips Auditorium
1:00 pm to 2:00 pm	Lunch	Pratt/Lobby/Atrium
2:00 pm to 2:30 pm	Spotlight Talk: Gemma Zhang Title: TBA	Phillips Auditorium
2:30 pm to 4:00 pm	Poster Session	Library
4:30 pm	Reception - Wusong Tiki Bar	112 Mt. Auburn St., Cambridge, MA
Tuesday, June 18th, 2024
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Melanie Weber (Harvard University) Title: Geometric Machine Learning and Applications in the Sciences	Phillips Auditorium
11:00 am to 11:30 pm	Break	Phillips Auditorium
11:30 pm to 12:30 pm	Contributed Talks: Galactic Astronomy Speaker 1: Gregoire Aufort (Inferring Star formation histories with neural density estimation and cosmological simulations) Speaker 2: Tri Nguyen (How DREAMS are made: Emulating subhalo populations under alternative dark matter scenarios with Variational Diffusion Models) Speaker 3: Lucas Pulgar-Escobar (COSMIC: Characterization of Star clusters using Machine-learning Inference and Clustering) Speaker 4: Ethan Tregidga (Probing Self-Interacting Dark Matter with Interpretable Neural Networks)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Pratt/Lobby/Atrium
1:30 pm to 2:00 pm	Spotlight Talk: Aizhan Akhmetzhanova Title: Data Compression and Inference in Cosmology with Self-Supervised Machine Learning	Phillips Auditorium
2:00 pm to 3:30 pm	Demofest (Seamless Astronomy)	Library/Pratt
3:30 pm to 5:00 pm	Hackathon	Library/Fishbowl/Pratt/ Lobby/B-105/B-106
Thursday, June 20th, 2024
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Tamara Broderick (Massachusetts Institute of Technology) Title: An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?	Phillips Auditorium
11:00 am to 11:30 pm	Break	Phillips Auditorium
11:30 pm to 12:30 pm	Contributed Talks: Cosmology Speaker 1: Ashod Khederlarian (Deep Learning Photo-z's in Preparation for Roman) Speaker 2: Core Francisco Park (Probabilistic Reconstruction of the Local Dark Matter with 3D Diffusion Models) Speaker 3: Stephane Werner (Applying Machine Learning to Determine Galaxy Membership in Galaxy Clusters)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Pratt/Lobby/Atrium
1:30 pm to 2:00 pm	Spotlight Talk: Carol Cuesta-Lazaro Title: Big data cosmology meets AI	Phillips Auditorium
2:00 pm to 3:30 pm	Contributed Talks: Extragalactic Astronomy Speaker 1: Anshuman Acharya (A Machine Learning Upgrade to GPR for EoR 21-cm signal extraction from LOFAR data) Speaker 2: Joshua Fagin (Latent Stochastic Differential Equations for Modeling Quasar Variability) Speaker 3: Trung Ha (Segmentation of Current Sheets in Magnetized Plasma Turbulence with Computer Vision) Speaker 4: David Krejcik (Improving Fast Radio Burst Localizations Using Simulation-Based Inference)	Phillips Auditorium
3:30 pm to 5:00 pm	Poster Session	Library
Friday, June 21st, 2024
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Yuan-Sen Ting (Ohio State University) Title: Expediting Astronomical Discovery with Large Language Models: Progress, Challenges, and Future Directions	Phillips Auditorium
11:00 am to 11:30 pm	Break	Phillips Auditorium
11:30 pm to 12:30 pm	Contributed Talks: Extreme Universe Speaker 1: Zachary Murray (Using neural networks to model Main Belt Asteroid albedos as a function of their proper orbital elements) Speaker 2: Vishnu Balakrishnan (PulsarNet - Accelerating the Discovery of Binary Pulsars through Attention-Based Neural Networks) Speaker 3: Gabriel Sasseville (Interpolation of Sagittarius A* multiwavelength data using a transformer based machine learning model)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Pratt/Lobby/Atrium
1:30 pm to 2:00 pm	Spotlight Talk: Laura Domine Title: Multi-modal generalized class discovery for scalable autonomous all-sky surveys	Phillips Auditorium
2:00 pm to 5:00 pm	Hackathon	Fishbowl/ Lobby/B-105/B-106
2:00 pm to 5:00 pm	Tutorial on variational Bayes presented by Tamara Broderick	Phillips Auditorium

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