Whang, Jay

7 publications

CVPR 2022 Deblurring via Stochastic Refinement Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar

NeurIPS 2022 Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi

ICML 2021 Composing Normalizing Flows for Inverse Problems Jay Whang, Erik Lindgren, Alex Dimakis

ICML 2021 Solving Inverse Problems with a Flow-Based Noise Model Jay Whang, Qi Lei, Alex Dimakis

NeurIPSW 2020 Approximate Probabilistic Inference with Composed Flows Jay Whang, Erik Lindgren, Alex Dimakis

NeurIPSW 2020 Compressed Sensing with Invertible Generative Models and Dependent Noise Jay Whang, Qi Lei, Alex Dimakis

AISTATS 2019 Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu, Hung Bui, Jay Whang, Stefano Ermon