


default search action
Jonathan Ho
Person information
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j6]Seyun Kim
, Jonathan Ho
, Yinan Li
, Bonnie Fan
, Willa Yunqi Yang
, Jessie Ramey
, Sarah E. Fox
, Haiyi Zhu
, John Zimmerman
, Motahhare Eslami
:
Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-39 (2024) - 2023
- [j5]Jonathan Ho
, Charbel Farhat
:
Aerodynamic optimization with large shape and topology changes using a differentiable embedded boundary method. J. Comput. Phys. 488: 112191 (2023) - [j4]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): 4713-4726 (2023) - [c23]Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans:
On Distillation of Guided Diffusion Models. CVPR 2023: 14297-14306 - [c22]José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa:
Discrete Predictor-Corrector Diffusion Models for Image Synthesis. ICLR 2023 - [c21]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. ICLR 2023 - 2022
- [j3]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: 47:1-47:33 (2022) - [c20]Tim Salimans, Jonathan Ho:
Progressive Distillation for Fast Sampling of Diffusion Models. ICLR 2022 - [c19]Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi:
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. ICLR 2022 - [c18]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. NeurIPS 2022 - [c17]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 - [c16]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: 15:1-15:10 - [i26]Tim Salimans, Jonathan Ho:
Progressive Distillation for Fast Sampling of Diffusion Models. CoRR abs/2202.00512 (2022) - [i25]Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi:
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. CoRR abs/2202.05830 (2022) - [i24]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. CoRR abs/2204.03458 (2022) - [i23]Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i22]Jonathan Ho, Tim Salimans:
Classifier-Free Diffusion Guidance. CoRR abs/2207.12598 (2022) - [i21]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 abs/2210.02303 (2022) - [i20]Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans:
On Distillation of Guided Diffusion Models. CoRR abs/2210.03142 (2022) - [i19]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. CoRR abs/2210.04628 (2022) - 2021
- [c15]Elena Galbally Herrero, Jonathan Ho, Oussama Khatib
:
Understanding and Segmenting Human Demonstrations into Reusable Compliant Primitives. IROS 2021: 9437-9444 - [c14]Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg:
Structured Denoising Diffusion Models in Discrete State-Spaces. NeurIPS 2021: 17981-17993 - [c13]Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho:
On Density Estimation with Diffusion Models. NeurIPS 2021: 21696-21707 - [i18]Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Image Super-Resolution via Iterative Refinement. CoRR abs/2104.07636 (2021) - [i17]Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan:
Learning to Efficiently Sample from Diffusion Probabilistic Models. CoRR abs/2106.03802 (2021) - [i16]Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans:
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR abs/2106.15282 (2021) - [i15]Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho:
Variational Diffusion Models. CoRR abs/2107.00630 (2021) - [i14]Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg:
Structured Denoising Diffusion Models in Discrete State-Spaces. CoRR abs/2107.03006 (2021) - [i13]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 abs/2111.05826 (2021) - 2020
- [b1]Jonathan Ho:
Deep Generative Models: Imitation Learning, Image Synthesis, and Compression. University of California, Berkeley, USA, 2020 - [c12]Jonathan Ho, Ajay Jain, Pieter Abbeel:
Denoising Diffusion Probabilistic Models. NeurIPS 2020 - [i12]Jonathan Ho, Ajay Jain, Pieter Abbeel:
Denoising Diffusion Probabilistic Models. CoRR abs/2006.11239 (2020)
2010 – 2019
- 2019
- [c11]Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. ICML 2019: 2722-2730 - [c10]Friso H. Kingma, Pieter Abbeel, Jonathan Ho:
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. ICML 2019: 3408-3417 - [c9]Jonathan Ho, Evan Lohn, Pieter Abbeel:
Compression with Flows via Local Bits-Back Coding. NeurIPS 2019: 3874-3883 - [i11]Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. CoRR abs/1902.00275 (2019) - [i10]Friso H. Kingma, Pieter Abbeel, Jonathan Ho:
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. CoRR abs/1905.06845 (2019) - [i9]Jonathan Ho, Evan Lohn, Pieter Abbeel:
Compression with Flows via Local Bits-Back Coding. CoRR abs/1905.08500 (2019) - [i8]Wilson Yan, Jonathan Ho, Pieter Abbeel:
Natural Image Manipulation for Autoregressive Models Using Fisher Scores. CoRR abs/1912.05015 (2019) - [i7]Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans:
Axial Attention in Multidimensional Transformers. CoRR abs/1912.12180 (2019) - 2018
- [c8]Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman:
Meta Learning Shared Hierarchies. ICLR (Poster) 2018 - [c7]Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel:
Evolved Policy Gradients. NeurIPS 2018: 5405-5414 - [i6]Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel:
Evolved Policy Gradients. CoRR abs/1802.04821 (2018) - 2017
- [c6]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. NIPS 2017: 1087-1098 - [i5]Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever:
Evolution Strategies as a Scalable Alternative to Reinforcement Learning. CoRR abs/1703.03864 (2017) - [i4]Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba:
One-Shot Imitation Learning. CoRR abs/1703.07326 (2017) - [i3]Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman:
Meta Learning Shared Hierarchies. CoRR abs/1710.09767 (2017) - 2016
- [c5]Jonathan Ho, Jayesh K. Gupta, Stefano Ermon:
Model-Free Imitation Learning with Policy Optimization. ICML 2016: 2760-2769 - [c4]Jonathan Ho, Stefano Ermon:
Generative Adversarial Imitation Learning. NIPS 2016: 4565-4573 - [i2]Jonathan Ho, Jayesh K. Gupta, Stefano Ermon:
Model-Free Imitation Learning with Policy Optimization. CoRR abs/1605.08478 (2016) - [i1]Jonathan Ho, Stefano Ermon:
Generative Adversarial Imitation Learning. CoRR abs/1606.03476 (2016) - 2014
- [j2]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): 1251-1270 (2014) - 2013
- [c3]John Schulman, Alex X. Lee, Jonathan Ho, Pieter Abbeel:
Tracking deformable objects with point clouds. ICRA 2013: 1130-1137 - [c2]John Schulman, Jonathan Ho, Cameron Lee, Pieter Abbeel:
Learning from Demonstrations Through the Use of Non-rigid Registration. ISRR 2013: 339-354 - [c1]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 - 2010
- [j1]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): 135-147 (2010)
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint