Jay Whang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Diffusion Models

Photorealistic Rendering

Variational Inference

High Definition Video

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Model-Based Deep Learning. Proc. IEEE 111 (5) (2023)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR (2022)
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
Imagen Video: High Definition Video Generation with Diffusion Models. CoRR (2022)
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Deblurring via Stochastic Refinement. CVPR (2022)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS (2022)
Jay Whang, Erik M. Lindgren, Alex Dimakis
Composing Normalizing Flows for Inverse Problems. ICML (2021)
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Deblurring via Stochastic Refinement. CoRR (2021)
Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis
Neural Distributed Source Coding. CoRR (2021)
Jay Whang, Qi Lei, Alex Dimakis
Solving Inverse Problems with a Flow-based Noise Model. ICML (2021)
Jay Whang, Qi Lei, Alexandros G. Dimakis
Compressed Sensing with Invertible Generative Models and Dependent Noise. CoRR (2020)
Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis
Model-Based Deep Learning. CoRR (2020)
Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis
Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. CoRR (2020)
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
Training Variational Autoencoders with Buffered Stochastic Variational Inference. AISTATS (2019)
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
Training Variational Autoencoders with Buffered Stochastic Variational Inference. CoRR (2019)
Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill
Strategic Object Oriented Reinforcement Learning. CoRR (2018)