The symposium aims to bring together machine learning researchers and astrophysicists to discuss what are the most interesting astrophysical challenges and where state-of-the-art machine learning models are expected to outperform conventional methods. We aim for a relatively small symposium with ~100 participants to allow possibilities of brain-storming, collaboration building with a relatively informal atmosphere.
The overarching theme this year is unsupervised and generative models which have surprised us with recent successes in transformers, diffusion models and foundation models, with related areas of interest including simulation-based inference and DL-accelerated simulations.
See the agenda [here][https://indico.flatironinstitute.org/event/3624/timetable/?view=standard].