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William Harvey
William Harvey
Applied Research Scientist, Netflix
Verified email at netflix.com - Homepage
Title
Cited by
Cited by
Year
Flexible diffusion modeling of long videos
W Harvey, S Naderiparizi, V Masrani, C Weilbach, F Wood
Thirty-sixth Conference on Neural Information Processing Systems, 2022
2132022
Structured conditional continuous normalizing flows for efficient amortized inference in graphical models
C Weilbach, B Beronov, F Wood, W Harvey
International Conference on Artificial Intelligence and Statistics, 4441-4451, 2020
232020
End-to-end training of differentiable pipelines across machine learning frameworks
M Milutinovic, AG Baydin, R Zinkov, W Harvey, D Song, F Wood, W Shen
202017
Conditional image generation by conditioning variational auto-encoders
W Harvey, S Naderiparizi, F Wood
The Tenth International Conference on Learning Representations, 2021
19*2021
Planning as inference in epidemiological dynamics models
F Wood, A Warrington, S Naderiparizi, C Weilbach, V Masrani, W Harvey, ...
Frontiers in Artificial Intelligence 4, 550603, 2022
182022
Attention for inference compilation
W Harvey, A Munk, AG Baydin, A Bergholm, F Wood
arXiv preprint arXiv:1910.11961, 2019
112019
Graphically structured diffusion models
CD Weilbach, W Harvey, F Wood
International Conference on Machine Learning, 36887-36909, 2023
62023
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
W Harvey, M Teng, F Wood
arXiv preprint arXiv:1906.05462, 2019
62019
Visual Chain-of-Thought Diffusion Models
W Harvey, F Wood
CVPR 2023 Workshop on Generative Models for Computer Vision, 2023
32023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
A Campbell, W Harvey, C Weilbach, V De Bortoli, T Rainforth, A Doucet
Thirty-seventh Conference on Neural Information Processing Systems, 2023
22023
Semantically Consistent Video Inpainting with Conditional Diffusion Models
D Green, W Harvey, S Naderiparizi, M Niedoba, Y Liu, X Liang, ...
arXiv preprint arXiv:2405.00251, 2024
2024
Flexible conditioning in generative models of images and video
W Harvey
University of British Columbia, 2024
2024
Scaling Graphically Structured Diffusion Models
CD Weilbach, W Harvey, H Shirzad, F Wood
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
2023
Assisting the Adversary to Improve GAN Training
A Munk, W Harvey, F Wood
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
2021
Two-Stage Diffusion Models: Better Image Synthesis by Explicitly Modeling Semantics
W Harvey, F Wood
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Articles 1–15