| 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 | 379 | 2022 |
| Conditional image generation by conditioning variational auto-encoders W Harvey, S Naderiparizi, F Wood The Tenth International Conference on Learning Representations, 2021 | 46 | 2021 |
| 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 | 32 | 2020 |
| 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 | 22 | 2023 |
| 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 | 22 | 2017 |
| 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 | 20 | 2022 |
| Attention for inference compilation W Harvey, A Munk, AG Baydin, A Bergholm, F Wood arXiv preprint arXiv:1910.11961, 2019 | 13 | 2019 |
| Visual Chain-of-Thought Diffusion Models W Harvey, F Wood CVPR 2023 Workshop on Generative Models for Computer Vision, 2023 | 12 | 2023 |
| Graphically structured diffusion models CD Weilbach, W Harvey, F Wood International Conference on Machine Learning, 36887-36909, 2023 | 11 | 2023 |
| Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training W Harvey, M Teng, F Wood arXiv preprint arXiv:1906.05462, 2019 | 7 | 2019 |
| Flexible diffusion modeling of long videos, 2022 W Harvey, S Naderiparizi, V Masrani, C Weilbach, F Wood URL http://arxiv. org/abs/2205.11495, 0 | 5 | |
| 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 | 4 | 2024 |
| Rolling ahead diffusion for traffic scene simulation Y Liu, M Niedoba, W Harvey, A Scibior, B Zwartsenberg, F Wood arXiv preprint arXiv:2502.09587, 2025 | 2 | 2025 |
| Scaling Graphically Structured Diffusion Models CD Weilbach, W Harvey, H Shirzad, F Wood ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 1 | 2023 |
| Method and system for generating one or more conditionally dependent data entries W Harvey, S Naderiparizi, V Masrani, CD Weilbach, F Wood US Patent 12,387,088, 2025 | | 2025 |
| Flexible conditioning in generative models of images and video W Harvey University of British Columbia, 2024 | | 2024 |
| 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 | | |
Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
