William Harvey
Scholar

William Harvey

Google Scholar ID: kDd7nBkAAAAJ
Applied Research Scientist, Netflix
Machine LearningGenerative ModelsDiffusion ModelsArtificial Intelligence
Citations & Impact
All-time
Citations
526
 
H-index
9
 
i10-index
8
 
Publications
19
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Published multiple papers at conferences such as NeurIPS, ICML, CVPR, covering topics including trans-dimensional generative modeling via jump diffusion models, graphically structured diffusion models, visually chain-of-thought diffusion models, flexible diffusion modeling of long videos, conditional image generation by conditioning variational auto-encoders, planning as inference in epidemiological models, attention for inference compilation, near-optimal glimpse sequences for improved hard attention neural network training, and assisting the adversary to improve GAN training.
Research Experience
  • Interned at Google DeepMind.
Education
  • PhD: University of British Columbia, supervised by Frank Wood; MEng: Engineering Science at the University of Oxford.
Background
  • Research interests: generative modeling, especially with diffusion models. Applications in the video domain and for problems with explicit structural information.