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.

[BibT_eX]

[DOI]

Chitwan Saharia

Seyed Kamyar Seyed Ghasemipour

Raphael Gontijo Lopes

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

Video Diffusion Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Progressive Distillation for Fast Sampling of Diffusion Models.

[BibT_eX]

[DOI]

Tim Salimans

Jonathan Ho

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Variational Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Efficiently Sample from Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2021

On Density Estimation with Diffusion Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Elena Galbally Herrero

Jonathan Ho

Oussama Khatib

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Deep Generative Models: Imitation Learning, Image Synthesis, and Compression

[BibT_eX]

[DOI]

Jonathan Ho

PhD thesis, 2020

Denoising Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Jonathan Ho

Ajay Jain

Pieter Abbeel

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.

[BibT_eX]

[DOI]

CoRR, 2019

Natural Image Manipulation for Autoregressive Models Using Fisher Scores.

[BibT_eX]

[DOI]

Wilson Yan

Jonathan Ho

Pieter Abbeel

CoRR, 2019

Compression with Flows via Local Bits-Back Coding.

[BibT_eX]

[DOI]

Jonathan Ho

Evan Lohn

Pieter Abbeel

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.

[BibT_eX]

[DOI]

Friso H. Kingma

Pieter Abbeel

Jonathan Ho

Proceedings of the 36th International Conference on Machine Learning, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Evolved Policy Gradients.

[BibT_eX]

[DOI]

CoRR, 2018

Evolved Policy Gradients.

[BibT_eX]

[DOI]

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

Meta Learning Shared Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

One-Shot Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Generative Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Jonathan Ho

Stefano Ermon

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.

[BibT_eX]

[DOI]

Jonathan Ho

Jayesh K. Gupta

Stefano Ermon

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Motion planning with sequential convex optimization and convex collision checking.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2014

2013

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2013

Tracking deformable objects with point clouds.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Manuf. Technol. Manag., 2010

Jonathan Ho

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