Jonathan Ho
Jonathan Ho
Unknown affiliation
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Cited by
Cited by
Denoising diffusion probabilistic models
J Ho, A Jain, P Abbeel
Advances in neural information processing systems 33, 6840-6851, 2020
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
Generative adversarial imitation learning
J Ho, S Ermon
Advances in Neural Information Processing Systems, 4565-4573, 2016
Classifier-free diffusion guidance
J Ho, T Salimans
arXiv preprint arXiv:2207.12598, 2022
Evolution strategies as a scalable alternative to reinforcement learning
T Salimans, J Ho, X Chen, S Sidor, I Sutskever
arXiv preprint arXiv:1703.03864, 2017
Image super-resolution via iterative refinement
C Saharia, J Ho, W Chan, T Salimans, DJ Fleet, M Norouzi
IEEE transactions on pattern analysis and machine intelligence 45 (4), 4713-4726, 2022
Palette: Image-to-image diffusion models
C Saharia, W Chan, H Chang, C Lee, J Ho, T Salimans, D Fleet, ...
ACM SIGGRAPH 2022 conference proceedings, 1-10, 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
Video diffusion models
J Ho, T Salimans, A Gritsenko, W Chan, M Norouzi, DJ Fleet
Advances in Neural Information Processing Systems 35, 8633-8646, 2022
Motion planning with sequential convex optimization and convex collision checking
J Schulman, Y Duan, J Ho, A Lee, I Awwal, H Bradlow, J Pan, S Patil, ...
The International Journal of Robotics Research 33 (9), 1251-1270, 2014
Cascaded Diffusion Models for High Fidelity Image Generation
J Ho, C Saharia, W Chan, DJ Fleet, M Norouzi, T Salimans
arXiv preprint arXiv:2106.15282, 2021
Variational diffusion models
D Kingma, T Salimans, B Poole, J Ho
Advances in neural information processing systems 34, 21696-21707, 2021
One-shot imitation learning
Y Duan, M Andrychowicz, B Stadie, J Ho, J Schneider, I Sutskever, ...
Advances in Neural Information Processing Systems, 1087-1098, 2017
Progressive distillation for fast sampling of diffusion models
T Salimans, J Ho
arXiv preprint arXiv:2202.00512, 2022
Finding locally optimal, collision-free trajectories with sequential convex optimization.
J Schulman, J Ho, AX Lee, I Awwal, H Bradlow, P Abbeel
Robotics: science and systems 9 (1), 1-10, 2013
Structured denoising diffusion models in discrete state-spaces
J Austin, DD Johnson, J Ho, D Tarlow, R Van Den Berg
Advances in Neural Information Processing Systems 34, 17981-17993, 2021
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
Flow++: Improving flow-based generative models with variational dequantization and architecture design
J Ho, X Chen, A Srinivas, Y Duan, P Abbeel
International Conference on Machine Learning, 2019
Meta learning shared hierarchies
K Frans, J Ho, X Chen, P Abbeel, J Schulman
arXiv preprint arXiv:1710.09767, 2017
Evolved policy gradients
R Houthooft, Y Chen, P Isola, B Stadie, F Wolski, J Ho, P Abbeel
Advances in Neural Information Processing Systems, 5405-5414, 2018
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