Name: Warren Morningstar
Type: User
Company: KIPAC, Stanford University
Bio: I am an AI resident at Google, working on statistical learning, and deep generative models. Previously I was a PhD student in astrophysics at Stanford.
Location: United States
Warren Morningstar's Projects
A deep Neural Network alternative to the CLEAN algorithm for Interferometric images
Simulating images and visibilities of gravitationally lensed galaxies, behind Yashar Hezaveh's back.
ML Identification of Image artifacts in DES exposures
Gravitational lens source reconstruction via deep neural networks
Course notes and resources for Stanford University gradutate lecture course PHYS366: Special Topics in Astrophysics: Statistical Methods
Module for modeling gravitational lensing systems in which the data are not images but interferometric visibilities.