Jonathan Ho

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 49

Top Topics

Imitation Learning

Convex Optimization

Top Venues

Publications

Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. ICLR (2023)
José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa
Discrete Predictor-Corrector Diffusion Models for Image Synthesis. ICLR (2023)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jonathan Ho, Charbel Farhat
Aerodynamic optimization with large shape and topology changes using a differentiable embedded boundary method. J. Comput. Phys. 488 (2023)
Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
On Distillation of Guided Diffusion Models. CVPR (2023)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. CoRR (2022)
Tim Salimans, Jonathan Ho
Progressive Distillation for Fast Sampling of Diffusion Models. ICLR (2022)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. J. Mach. Learn. Res. 23 (2022)
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
Imagen Video: High Definition Video Generation with Diffusion Models. CoRR (2022)
Tim Salimans, Jonathan Ho
Progressive Distillation for Fast Sampling of Diffusion Models. CoRR (2022)
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. ICLR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. NeurIPS (2022)
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
On Distillation of Guided Diffusion Models. CoRR (2022)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. CoRR (2022)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2022)
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. CoRR (2022)
Jonathan Ho, Tim Salimans
Classifier-Free Diffusion Guidance. CoRR (2022)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS (2022)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR (2021)
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
Variational Diffusion Models. CoRR (2021)
Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan
Learning to Efficiently Sample from Diffusion Probabilistic Models. CoRR (2021)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. CoRR (2021)
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
Structured Denoising Diffusion Models in Discrete State-Spaces. CoRR (2021)
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
On Density Estimation with Diffusion Models. NeurIPS (2021)
Elena Galbally Herrero, Jonathan Ho, Oussama Khatib
Understanding and Segmenting Human Demonstrations into Reusable Compliant Primitives. IROS (2021)
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
Structured Denoising Diffusion Models in Discrete State-Spaces. NeurIPS (2021)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. CoRR (2021)
Jonathan Ho, Ajay Jain, Pieter Abbeel
Denoising Diffusion Probabilistic Models. CoRR (2020)
Jonathan Ho, Ajay Jain, Pieter Abbeel
Denoising Diffusion Probabilistic Models. NeurIPS (2020)
Wilson Yan, Jonathan Ho, Pieter Abbeel
Natural Image Manipulation for Autoregressive Models Using Fisher Scores. CoRR (2019)
Friso H. Kingma, Pieter Abbeel, Jonathan Ho
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. ICML (2019)
Jonathan Ho, Evan Lohn, Pieter Abbeel
Compression with Flows via Local Bits-Back Coding. NeurIPS (2019)
Jonathan Ho, Evan Lohn, Pieter Abbeel
Compression with Flows via Local Bits-Back Coding. CoRR (2019)
Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans
Axial Attention in Multidimensional Transformers. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR (2019)
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML (2019)
Friso H. Kingma, Pieter Abbeel, Jonathan Ho
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. CoRR (2019)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. ICLR (Poster) (2018)
Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
Evolved Policy Gradients. CoRR (2018)
Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
Evolved Policy Gradients. NeurIPS (2018)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. NIPS (2017)
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman
Meta Learning Shared Hierarchies. CoRR (2017)
Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba
One-Shot Imitation Learning. CoRR (2017)
Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever
Evolution Strategies as a Scalable Alternative to Reinforcement Learning. CoRR (2017)
Jonathan Ho, Stefano Ermon
Generative Adversarial Imitation Learning. CoRR (2016)
Jonathan Ho, Stefano Ermon
Generative Adversarial Imitation Learning. NIPS (2016)
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
Model-Free Imitation Learning with Policy Optimization. ICML (2016)
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
Model-Free Imitation Learning with Policy Optimization. CoRR (2016)
John Schulman, Yan Duan, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Jia Pan, Sachin Patil, Ken Goldberg, Pieter Abbeel
Motion planning with sequential convex optimization and convex collision checking. Int. J. Robotics Res. 33 (9) (2014)
John Schulman, Jonathan Ho, Cameron Lee, Pieter Abbeel
Learning from Demonstrations Through the Use of Non-rigid Registration. ISRR (2013)
John Schulman, Jonathan Ho, Alex X. Lee, Ibrahim Awwal, Henry Bradlow, Pieter Abbeel
Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization. Robotics: Science and Systems (2013)
John Schulman, Alex X. Lee, Jonathan Ho, Pieter Abbeel
Tracking deformable objects with point clouds. ICRA (2013)
K. Ramesh, Roger Heng, Jonathan Ho, Adrian Kang
Tool life enhancement through nano-composite coating on the residual stress controlled cutting faces. Int. J. Manuf. Technol. Manag. 21 (1/2) (2010)