Jay Whang

Orcid: 0009-0000-0084-5933

According to our database1, Jay Whang authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Neural Distributed Source Coding.
IEEE J. Sel. Areas Inf. Theory, 2024

2023
Model-Based Deep Learning.
Proc. IEEE, May, 2023

2022
Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deblurring via Stochastic Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Neural Distributed Source Coding.
CoRR, 2021

Composing Normalizing Flows for Inverse Problems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Solving Inverse Problems with a Flow-based Noise Model.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Compressed Sensing with Invertible Generative Models and Dependent Noise.
CoRR, 2020

Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems.
CoRR, 2020

2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Strategic Object Oriented Reinforcement Learning.
CoRR, 2018


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