JH
Jonathan Ho
cs.LGcs.AIcs.CVstat.MLcs.NEcs.ITmath.ITcs.CLcs.GRcs.RO
On Valency
published · living versionsW_75tp5chr·v1 · currentpublished
Axial Attention in Multidimensional Transformers
with Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans
1 version
Preprints & journals
26 papers in the corpus · 2016–2022Image Super-Resolution via Iterative Refinement.36094974 · Saharia, Chitwan, Ho, Jonathan, Chan, William et al.2023 · 1,821 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(4):4713-4726
On Distillation of Guided Diffusion Models2210.03142v3 · Chenlin Meng, Robin Rombach, Ruiqi Gao et al.2022 · 317 citationsarXiv
Novel View Synthesis with Diffusion Models2210.04628v1 · Daniel Watson, William Chan, Ricardo Martin-Brualla et al.2022 · 95 citationsarXiv
Imagen Video: High Definition Video Generation with Diffusion Models2210.02303v1 · Jonathan Ho, William Chan, Chitwan Saharia et al.2022 · 399 citationsarXiv
Classifier-Free Diffusion Guidance2207.12598v1 · Jonathan Ho, Tim Salimans2022 · 1,125 citationsarXiv
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2205.11487v1 · Chitwan Saharia, William Chan, Saurabh Saxena et al.2022 · 3,088 citationsarXiv
Video Diffusion Models2204.03458v2 · Jonathan Ho, Tim Salimans, Alexey Gritsenko et al.2022 · 301 citationsarXiv
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality2202.05830v1 · Daniel Watson, William Chan, Jonathan Ho et al.2022 · 49 citationsarXiv
Progressive Distillation for Fast Sampling of Diffusion Models2202.00512v2 · Tim Salimans, Jonathan Ho2022 · 287 citationsarXiv
Palette: Image-to-Image Diffusion Models2111.05826v2 · Chitwan Saharia, William Chan, Huiwen Chang et al.2021 · 1,727 citationsarXiv
Structured Denoising Diffusion Models in Discrete State-Spaces2107.03006v3 · Jacob Austin, Daniel D. Johnson, Jonathan Ho et al.2021 · 303 citationsarXiv
Variational Diffusion Models2107.00630v6 · Diederik P. Kingma, Tim Salimans, Ben Poole et al.2021 · 374 citationsarXiv
Learning to Efficiently Sample from Diffusion Probabilistic Models2106.03802v1 · Daniel Watson, Jonathan Ho, Mohammad Norouzi et al.2021 · 57 citationsarXiv
Cascaded Diffusion Models for High Fidelity Image Generation2106.15282v3 · Jonathan Ho, Chitwan Saharia, William Chan et al.2021 · 514 citationsarXiv
Denoising Diffusion Probabilistic Models2006.11239v2 · Jonathan Ho, Ajay Jain, Pieter Abbeel2020 · 8,706 citationsarXiv
Axial Attention in Multidimensional Transformers1912.12180v1 · Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn et al.2019 · 370 citationsarXivon Valency
Natural Image Manipulation for Autoregressive Models Using Fisher Scores1912.05015v2 · Wilson Yan, Jonathan Ho, Pieter Abbeel2019 · 0 citationsarXiv
Compression with Flows via Local Bits-Back Coding1905.08500v3 · Jonathan Ho, Evan Lohn, Pieter Abbeel2019 · 42 citationsarXiv
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables1905.06845v4 · Friso H. Kingma, Pieter Abbeel, Jonathan Ho2019 · 71 citationsarXiv
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design1902.00275v2 · Jonathan Ho, Xi Chen, Aravind Srinivas et al.2019 · 246 citationsarXiv
Evolved Policy Gradients1802.04821v2 · Rein Houthooft, Richard Y. Chen, Phillip Isola et al.2018 · 149 citationsarXiv
Meta Learning Shared Hierarchies1710.09767v1 · Kevin Frans, Jonathan Ho, Xi Chen et al.2017 · 219 citationsarXiv
One-Shot Imitation Learning1703.07326v3 · Yan Duan, Marcin Andrychowicz, Bradly C. Stadie et al.2017 · 208 citationsarXiv
Evolution Strategies as a Scalable Alternative to Reinforcement Learning1703.03864v2 · Tim Salimans, Jonathan Ho, Xi Chen et al.2017 · 970 citationsarXiv
Generative Adversarial Imitation Learning1606.03476v1 · Jonathan Ho, Stefano Ermon2016 · 1,945 citationsarXiv
Model-Free Imitation Learning with Policy Optimization1605.08478v1 · Jonathan Ho, Jayesh K. Gupta, Stefano Ermon2016 · 104 citationsJMLR W&CP 48 (2016) 2760-2769
Career total: 42 works. 26 are in this corpus.
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