Learn the Universe -- an ML X Cosmology Workshop

Session

Structured Section: Robust ML for science

Aug 25, 2021, 2:00 PM

2nd Floor, IDA (Flatiron Institute)

Description

Chair: Shirley Ho

15. Biwei Dai: Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis

8/25/21, 2:00 PM

16. David Yallup : Principled Bayesian Neural Networks

8/25/21, 2:15 PM

17. Miles Cranmer: Histogram Pooling Operators for Interpretable Deep Learning in Cosmology

8/25/21, 2:30 PM

18. Anima Anandkumar: AI4 Science A revolution in the making

8/25/21, 2:45 PM

REMOTE

35. Michael Eickenberg: Wavelet Modulus Integrals for Parameter Estimation

8/25/21, 3:00 PM

30. Anima Anandkumar, “ AI4 Science A revolution in the making “

8/26/21, 2:00 PM

REMOTE

29. Greg Bryan, Introducing the Simons Collaboration “Learning the Universe”

8/26/21, 2:15 PM

33. Rachel Somerville: New methods to model galaxy formation so that we can Learn the Universe

8/26/21, 2:30 PM

31. Ana Maria Delgado: Modeling Galaxy-Halo connection with Machine Learning

8/26/21, 2:45 PM

32. Sultan Hassan: HIFlow: Fast Emulator of HI maps using Normalizing Flow

8/26/21, 3:00 PM