Photorealistic text-to-image diffusion models with deep language understanding C Saharia, W Chan, S Saxena, L Li, J Whang, EL Denton, K Ghasemipour, ... Advances in Neural Information Processing Systems 35, 36479-36494, 2022 | 5238 | 2022 |
Imagen Video: High Definition Video Generation with Diffusion Models J Ho, W Chan, C Saharia, J Whang, R Gao, A Gritsenko, DP Kingma, ... arXiv preprint arXiv:2210.02303, 2022 | 1279 | 2022 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 727 | 2024 |
Model-Based Deep Learning N Shlezinger, J Whang, YC Eldar, AG Dimakis Proceedings of the IEEE, 2023 | 344 | 2023 |
Deblurring via stochastic refinement J Whang, M Delbracio, H Talebi, C Saharia, AG Dimakis, P Milanfar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 274 | 2022 |
Solving Inverse Problems with a Flow-based Noise Model J Whang, Q Lei, A Dimakis International Conference on Machine Learning (ICML), 2021 | 67* | 2021 |
Composing Normalizing Flows for Inverse Problems J Whang, EM Lindgren, AG Dimakis International Conference on Machine Learning (ICML), 2021 | 67* | 2021 |
Model-Based Deep Learning: Key Approaches and Design Guidelines N Shlezinger, J Whang, YC Eldar, AG Dimakis 2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021 | 40 | 2021 |
Neural distributed source coding J Whang, A Nagle, A Acharya, H Kim, AG Dimakis IEEE Journal on Selected Areas in Information Theory, 2024 | 25 | 2024 |
Strategic Object Oriented Reinforcement Learning R Keramati, J Whang, P Cho, E Brunskill arXiv preprint arXiv:1806.00175, 2018 | 22 | 2018 |
Using generative models for semi-supervised learning DD Adiwardana, A Matsukawa, J Whang Stanford reports, 2017 | 10 | 2017 |
Approximate Probabilistic Inference with Composed Flows J Whang, EM Lindgren, AG Dimakis NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, arXiv: 2002.11743, 2020 | 6 | 2020 |
Training Variational Autoencoders with Buffered Stochastic Variational Inference R Shu, HH Bui, J Whang, S Ermon International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 | 5 | 2019 |
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning R Keramati, J Whang, P Cho, E Brunskill arXiv preprint arXiv:1806.00175, 2018 | 5 | 2018 |
Exploring Batch Normalization in Recurrent Neural Networks J Whang, A Matsukawa | 2 | |
GENERATING VIDEOS USING SEQUENCES OF GENERATIVE NEURAL NETWORKS J Ho, W Chan, C Saharia, JH Whang, T Salimans US Patent App. 18/400,856, 2024 | | 2024 |
GENERATING IMAGES USING SEQUENCES OF GENERATIVE NEURAL NETWORKS C Saharia, W Chan, M Norouzi, S Saxena, Y Li, JH Whang, DJ Fleet, J Ho US Patent App. 18/624,960, 2024 | | 2024 |
Generating images using sequences of generative neural networks C Saharia, W Chan, M Norouzi, S Saxena, Y Li, JH Whang, DJ Fleet, J Ho US Patent 11,978,141, 2024 | | 2024 |
Generating videos using sequences of generative neural networks J Ho, W Chan, C Saharia, JH Whang, T Salimans US Patent 11,908,180, 2024 | | 2024 |
Applications of deep generative models: inverse problems, compression, and beyond J Whang | | 2023 |