Jonathan Ho
Jonathan Ho
Google Brain
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Generative adversarial imitation learning
J Ho, S Ermon
Advances in Neural Information Processing Systems, 4565-4573, 2016
12642016
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
8452017
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
4352017
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
4332014
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
4062013
Meta learning shared hierarchies
K Frans, J Ho, X Chen, P Abbeel, J Schulman
arXiv preprint arXiv:1710.09767, 2017
2062017
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
1402013
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
1292019
Learning from demonstrations through the use of non-rigid registration
J Schulman, J Ho, C Lee, P Abbeel
Robotics Research, 339-354, 2016
1202016
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
1192018
Model-Free Imitation Learning with Policy Optimization
J Ho, JK Gupta, S Ermon
International Conference on Machine Learning, 2016
862016
Denoising diffusion probabilistic models
J Ho, A Jain, P Abbeel
arXiv preprint arXiv:2006.11239, 2020
602020
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
442019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
FH Kingma, P Abbeel, J Ho
International Conference on Machine Learning, 2019
262019
Generalization in robotic manipulation through the use of non-rigid registration
J Schulman, J Ho, C Lee, P Abbeel
Proceedings of the 16th International Symposium on Robotics Research (ISRR), 2013
202013
Generative models
A Karpathy, P Abbeel, G Brockman, P Chen, V Cheung, R Duan, ...
by openAI. June, 2016
162016
Compression with Flows via Local Bits-Back Coding
J Ho, E Lohn, P Abbeel
Advances in Neural Information Processing Systems, 3874-3883, 2019
122019
Image super-resolution via iterative refinement
C Saharia, J Ho, W Chan, T Salimans, DJ Fleet, M Norouzi
arXiv preprint arXiv:2104.07636, 2021
62021
Learning to Efficiently Sample from Diffusion Probabilistic Models
D Watson, J Ho, M Norouzi, W Chan
arXiv preprint arXiv:2106.03802, 2021
2021
Importance weighted compression
L Theis, J Ho
Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021
2021
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