Cosmic Connections: a Symposium to Explore the Intersection of Astrophysics and Machine Learning” at the Simons Foundation’s Flatiron Institute will take place from May 22 to May 24, 2023 in New York City. 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.
Invited Spekers include:
Peter Battaglia (Deepmind)
Josh Bloom (Berkeley)
Joan Bruna (NYU)
Diana Cai (Princeton)
Kyunghyun Cho (NYU)
Kate Storey-Fisher (NYU)
Marylou Gabrie (École Polytechnique (CMAP))
Shirley Ho (Simons Foundation/ NYU/ Princeton)
Tomasz Kacprzak (ETH)
Julia Kempe (NYU)
Francois Lanusse (CNRS)
Yann LeCun (NYU/ Meta)
Pablo Lemos (MILA/CCA)
Stephane Mallat (Simons Foundation/ ENS/ College De France)
Stephan Mandt (UCI)
Siddharth Mishra-Sharma (MIT)
Laurence Perreault Levasseur (University of Montreal / MILA)
Siamak Ravanbaksh (McGill / MILA)
Irina Rish (University of Montreal/ MILA)
Anna Scaife (University of Manchester)
Jeff Schneider (CMU)
Uros Seljak (UC Berkeley)
David Spergel (Simons Foundation)
Yang Song (OpenAI)
Kimberly Stachenfeld (Deepmind)
Ashley Villar (PSU)
Ingo Waldman (UCL)
Greg Yang (Microsoft Research)
