AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks. - Alex Gaunt; Matthew Johnson; Maik Riechert; Daniel Tarlow; Ryota Tomioka; Dimitrios Vytiniotis; Sam Webster (CoRR, 2017)

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program. - John M. Winn; John Guiver; Sam Webster; Yordan Zaykov; Martin Kukla; Dany Fabian (AKBC, 2019)

Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities. - John M. Winn; Matteo Venanzi; Tom Minka; Ivan Korostelev; John Guiver; Elena Pochernina; Pavel Mishkov; Alex Spengler; Denise J. Wilkins; Siân E. Lindley; Richard Banks; Sam Webster; et al. (AKBC, 2021)

Confidential Machine Learning within Graphcore IPUs. - Kapil Vaswani; Stavros Volos; Cédric Fournet; Antonio Nino Diaz; Ken Gordon; Balaji Vembu; Sam Webster; David Chisnall; Saurabh Kulkarni; Graham Cunningham; Richard Osborne; Dan Wilkinson (CoRR, 2022)

Confidential Computing within an AI Accelerator. - Kapil Vaswani; Stavros Volos; Cédric Fournet; Antonio Nino Diaz; Ken Gordon; Balaji Vembu; Sam Webster; David Chisnall; Saurabh Kulkarni; Graham Cunningham; Richard Osborne; Dan Wilkinson (USENIX ATC, 2023)