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All publications by John Winn
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Just-In-Time Learning for Fast and Flexible Inference
S. Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn
Advances in Neural Information Processing Systems 27, 2014


Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn and Antonio Criminisi
Advances in Neural Information Processing Systems 26, 2013


Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow and John Winn
Advances in Neural Information Processing Systems 26, 2013


Causality with Gates
John Winn
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Gates
Tom Minka and John Winn
Advances in Neural Information Processing Systems 21, 2008


Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn and Carsten Rother
Advances in Neural Information Processing Systems 19, 2006


Generative Affine Localisation and Tracking
John Winn and Andrew Blake
Advances in Neural Information Processing Systems 17, 2004


VIBES: A Variational Inference Engine for Bayesian Networks
Christopher M. Bishop, David Spiegelhalter and John Winn
Advances in Neural Information Processing Systems 15, 2002