William Harvey

According to our database, William Harvey authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Visual Chain-of-Thought Diffusion Models.

William Harvey, Frank Wood

CoRR, 2023

Trans-Dimensional Generative Modeling via Jump Diffusion Models.

Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graphically Structured Diffusion Models.

Christian Dietrich Weilbach, William Harvey, Frank Wood

Proceedings of the International Conference on Machine Learning, 2023

2022

Attention for Inference Compilation.

William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood

Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

Flexible Diffusion Modeling of Long Videos.

William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

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

Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training.

William Harvey, Michael Teng, Frank Wood

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditional Image Generation by Conditioning Variational Auto-Encoders.

William Harvey, Saeid Naderiparizi, Frank Wood

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Planning as Inference in Epidemiological Dynamics Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri

Frontiers Artif. Intell., 2021

Image Completion via Inference in Deep Generative Models.

William Harvey, Saeid Naderiparizi, Frank Wood

CoRR, 2021

Assisting the Adversary to Improve GAN Training.

Andreas Munk, William Harvey, Frank Wood

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Planning as Inference in Epidemiological Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri

CoRR, 2020

Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.

Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020