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Structured Denoising Diffusion Models in Discrete State-Spaces


Jul 13, 2021
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

* 10 pages plus references and appendices. First two authors contributed equally 

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Variational Diffusion Models


Jul 12, 2021
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho


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Learning to Efficiently Sample from Diffusion Probabilistic Models


Jun 07, 2021
Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan


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Image Super-Resolution via Iterative Refinement


Apr 15, 2021
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi


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Denoising Diffusion Probabilistic Models


Jun 19, 2020
Jonathan Ho, Ajay Jain, Pieter Abbeel


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Axial Attention in Multidimensional Transformers


Dec 20, 2019
Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans

* 10 pages 

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Natural Image Manipulation for Autoregressive Models Using Fisher Scores


Nov 25, 2019
Wilson Yan, Jonathan Ho, Pieter Abbeel


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Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables


Jun 05, 2019
Friso H. Kingma, Pieter Abbeel, Jonathan Ho

* Accepted at ICML 2019 

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Compression with Flows via Local Bits-Back Coding


May 22, 2019
Jonathan Ho, Evan Lohn, Pieter Abbeel


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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design


Feb 01, 2019
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

* 16 pages 

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Evolved Policy Gradients


Apr 29, 2018
Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel


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One-Shot Imitation Learning


Dec 04, 2017
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba


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Meta Learning Shared Hierarchies


Oct 26, 2017
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman


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Evolution Strategies as a Scalable Alternative to Reinforcement Learning


Sep 07, 2017
Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever


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Generative Adversarial Imitation Learning


Jun 10, 2016
Jonathan Ho, Stefano Ermon


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Model-Free Imitation Learning with Policy Optimization


May 26, 2016
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon

* JMLR W&CP 48 (2016) 2760-2769 
* In Proceedings of the 33rd International Conference on Machine Learning, 2016 

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