Jonathan Ho

Orcid: 0000-0003-4010-5256

According to our database1, Jonathan Ho authored at least 38 papers between 2010 and 2023.

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Bibliography

2023
Aerodynamic optimization with large shape and topology changes using a differentiable embedded boundary method.
J. Comput. Phys., September, 2023

Image Super-Resolution via Iterative Refinement.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Novel View Synthesis with Diffusion Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Discrete Predictor-Corrector Diffusion Models for Image Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Distillation of Guided Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Cascaded Diffusion Models for High Fidelity Image Generation.
J. Mach. Learn. Res., 2022

On Distillation of Guided Diffusion Models.
CoRR, 2022

Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR, 2022

Classifier-Free Diffusion Guidance.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Palette: Image-to-Image Diffusion Models.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Video Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Progressive Distillation for Fast Sampling of Diffusion Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Variational Diffusion Models.
CoRR, 2021

Learning to Efficiently Sample from Diffusion Probabilistic Models.
CoRR, 2021

On Density Estimation with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structured Denoising Diffusion Models in Discrete State-Spaces.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding and Segmenting Human Demonstrations into Reusable Compliant Primitives.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Denoising Diffusion Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Axial Attention in Multidimensional Transformers.
CoRR, 2019

Natural Image Manipulation for Autoregressive Models Using Fisher Scores.
CoRR, 2019

Compression with Flows via Local Bits-Back Coding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables.
Proceedings of the 36th International Conference on Machine Learning, 2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Evolved Policy Gradients.
CoRR, 2018

Evolved Policy Gradients.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Meta Learning Shared Hierarchies.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning.
CoRR, 2017

One-Shot Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Generative Adversarial Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Model-Free Imitation Learning with Policy Optimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2014
Motion planning with sequential convex optimization and convex collision checking.
Int. J. Robotics Res., 2014

2013
Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Learning from Demonstrations Through the Use of Non-rigid Registration.
Proceedings of the Robotics Research, 2013

Tracking deformable objects with point clouds.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2010
Tool life enhancement through nano-composite coating on the residual stress controlled cutting faces.
Int. J. Manuf. Technol. Manag., 2010


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