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William Harvey
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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
172017
Planning as inference in epidemiological models
F Wood, A Warrington, S Naderiparizi, C Weilbach, V Masrani, W Harvey, ...
arXiv preprint arXiv:2003.13221, 2020
132020
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
102020
Attention for inference compilation
W Harvey, A Munk, AG Baydin, A Bergholm, F Wood
arXiv preprint arXiv:1910.11961, 2019
32019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
W Harvey, M Teng, F Wood
arXiv preprint arXiv:1906.05462, 2019
32019
Conditional Image Generation by Conditioning Variational Auto-Encoders
W Harvey, S Naderiparizi, F Wood
International Conference on Learning Representations, 2021
2*2021
Flexible Diffusion Modeling of Long Videos
W Harvey, S Naderiparizi, V Masrani, C Weilbach, F Wood
arXiv preprint arXiv:2205.11495, 2022
12022
Efficient inference amortization in graphical models using structured continuous conditional normalizing flows
C Weilbach, B Beronov, W Harvey, F Wood
12019
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
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks
W Harvey, M Teng, F Wood
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Articles 1–10