Publications by authors named "Yee-Whye Teh"

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Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local authorities.
Yee Whye Teh, Bryn Elesedy, Bobby He, Michael Hutchinson, Sheheryar Zaidi

J R Stat Soc Ser A Stat Soc· November 2022

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Interoperability of statistical models in pandemic preparedness: principles and reality.
George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Yee Whye Teh

Stat Sci· May 2022

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Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK.
Bobby He, Sheheryar Zaidi, Bryn Elesedy, Michael Hutchinson, Andrei Paleyes, Yee Whye Teh

R Soc Open Sci· March 2021

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DeepC: predicting 3D genome folding using megabase-scale transfer learning.
Ron Schwessinger, Matthew Gosden, Damien Downes, Richard C Brown, A Marieke Oudelaar, Yee Whye Teh

Nat Methods· November 2020

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AI for social good: unlocking the opportunity for positive impact.
Nenad Tomašev, Julien Cornebise, Frank Hutter, Shakir Mohamed, Angela Picciariello, Yee Whye Teh

Nat Commun· May 2020

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Rediscovery of Good-Turing estimators via Bayesian nonparametrics.
Stefano Favaro, Bernardo Nipoti, Yee Whye Teh

Biometrics· March 2016

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Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics.
Ryan P Adams, Emily B Fox, Erik B Sudderth, Yee Whye Teh

IEEE Trans Pattern Anal Mach Intell· February 2015

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A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh

Neural Comput· July 2006

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Unsupervised discovery of nonlinear structure using contrastive backpropagation.
Geoffrey Hinton, Simon Osindero, Max Welling, Yee-Whye Teh

Cogn Sci· July 2006

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Linear response algorithms for approximate inference in graphical models.
Max Welling, Yee Whye Teh

Neural Comput· January 2004

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