William Harvey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Neural Network Training

Inference In Graphical Models

Image Generation

Diffusion Models

Top Venues

Publications

Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
Semantically Consistent Video Inpainting with Conditional Diffusion Models. CoRR (2024)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. NeurIPS (2023)
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
Trans-Dimensional Generative Modeling via Jump Diffusion Models. CoRR (2023)
Christian Dietrich Weilbach, William Harvey, Frank Wood
Graphically Structured Diffusion Models. ICML (2023)
William Harvey, Frank Wood
Visual Chain-of-Thought Diffusion Models. CoRR (2023)
William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
Attention for Inference Compilation. SIMULTECH (2022)
William Harvey, Michael Teng, Frank Wood
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. IJCNN (2022)
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
Flexible Diffusion Modeling of Long Videos. NeurIPS (2022)
Christian Weilbach, William Harvey, Frank Wood
Graphically Structured Diffusion Models. CoRR (2022)
William Harvey, Saeid Naderiparizi, Frank Wood
Conditional Image Generation by Conditioning Variational Auto-Encoders. ICLR (2022)
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
Flexible Diffusion Modeling of Long Videos. CoRR (2022)
William Harvey, Saeid Naderiparizi, Frank Wood
Image Completion via Inference in Deep Generative Models. CoRR (2021)
Andreas Munk, William Harvey, Frank Wood
Assisting the Adversary to Improve GAN Training. IJCNN (2021)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri
Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. 4 (2021)
Andreas Munk, William Harvey, Frank Wood
Assisting the Adversary to Improve GAN Training. CoRR (2020)
Christian Weilbach, Boyan Beronov, Frank Wood, William Harvey
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. AISTATS (2020)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Ali Nasseri
Planning as Inference in Epidemiological Models. CoRR (2020)
William Harvey, Michael Teng, Frank Wood
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. CoRR (2019)
William Harvey, Andreas Munk, Atilim Günes Baydin, Alexander Bergholm, Frank Wood
Attention for Inference Compilation. CoRR (2019)