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Jonathan Ho
Jonathan Ho
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berkeley.edu의 이메일 확인됨 - 홈페이지
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연도
Generative adversarial imitation learning
J Ho, S Ermon
Advances in Neural Information Processing Systems, 4565-4573, 2016
21952016
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
12762017
Denoising diffusion probabilistic models
J Ho, A Jain, P Abbeel
Advances in Neural Information Processing Systems 33, 6840-6851, 2020
8152020
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
6282014
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
6052017
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
4992013
Meta learning shared hierarchies
K Frans, J Ho, X Chen, P Abbeel, J Schulman
arXiv preprint arXiv:1710.09767, 2017
3342017
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
2902019
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
2402019
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
C Saharia, W Chan, S Saxena, L Li, J Whang, E Denton, ...
arXiv preprint arXiv:2205.11487, 2022
2022022
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
1902018
Tracking deformable objects with point clouds
J Schulman, A Lee, J Ho, P Abbeel
2013 IEEE International Conference on Robotics and Automation, 1130-1137, 2013
1742013
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, 2022
1492022
Learning from demonstrations through the use of non-rigid registration
J Schulman, J Ho, C Lee, P Abbeel
Robotics Research, 339-354, 2016
1472016
Variational diffusion models
D Kingma, T Salimans, B Poole, J Ho
Advances in neural information processing systems 34, 21696-21707, 2021
1332021
Model-Free Imitation Learning with Policy Optimization
J Ho, JK Gupta, S Ermon
International Conference on Machine Learning, 2016
1282016
Classifier-free diffusion guidance
J Ho, T Salimans
arXiv preprint arXiv:2207.12598, 2022
1132022
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
1092021
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
942022
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
732021
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학술자료 1–20