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2020 – today
- 2024
[j2]Jay Whang
, Alliot Nagle, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis:
Neural Distributed Source Coding. IEEE J. Sel. Areas Inf. Theory 5: 493-508 (2024)- 2023
- [j1]Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis:
Model-Based Deep Learning. Proc. IEEE 111(5): 465-499 (2023) - 2022
- [c5]Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar:
Deblurring via Stochastic Refinement. CVPR 2022: 16272-16282 - [c4]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 - [i9]Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i8]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 abs/2210.02303 (2022) - 2021
- [c3]Jay Whang, Qi Lei, Alex Dimakis:
Solving Inverse Problems with a Flow-based Noise Model. ICML 2021: 11146-11157 - [c2]Jay Whang, Erik M. Lindgren, Alex Dimakis:
Composing Normalizing Flows for Inverse Problems. ICML 2021: 11158-11169 - [i7]Jay Whang, Anish Acharya, Hyeji Kim, Alexandros G. Dimakis:
Neural Distributed Source Coding. CoRR abs/2106.02797 (2021) - [i6]Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar:
Deblurring via Stochastic Refinement. CoRR abs/2112.02475 (2021) - 2020
- [i5]Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis:
Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. CoRR abs/2002.11743 (2020) - [i4]Jay Whang, Qi Lei, Alexandros G. Dimakis:
Compressed Sensing with Invertible Generative Models and Dependent Noise. CoRR abs/2003.08089 (2020) - [i3]Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis:
Model-Based Deep Learning. CoRR abs/2012.08405 (2020)
2010 – 2019
- 2019
- [c1]Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon:
Training Variational Autoencoders with Buffered Stochastic Variational Inference. AISTATS 2019: 2134-2143 - [i2]Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon:
Training Variational Autoencoders with Buffered Stochastic Variational Inference. CoRR abs/1902.10294 (2019) - 2018
- [i1]Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill:
Strategic Object Oriented Reinforcement Learning. CoRR abs/1806.00175 (2018)
Coauthor Index
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