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Neural Computation|March 10, 2004
Linear response algorithms for approximate inference in graphical modelsMax Welling, Yee Whye Teh
Biometrics|July 31, 2015
Rediscovery of Good-Turing estimators via Bayesian nonparametricsStefano Favaro, Bernardo Nipoti, Yee Whye Teh
Neural Computation|June 13, 2006
A fast learning algorithm for deep belief netsGeoffrey E Hinton, Simon Osindero, Yee-Whye Teh
Cognitive Science|June 28, 2011
Unsupervised discovery of nonlinear structure using contrastive backpropagationGeoffrey Hinton, Simon Osindero, Max Welling, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 21, 2019
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene LayoutsZhile Ren, Erik B Sudderth
Royal Society Open Science|May 7, 2021
Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UKBobby He, Sheheryar Zaidi, Bryn Elesedy, et al.
Nature Methods|October 13, 2020
DeepC: predicting 3D genome folding using megabase-scale transfer learningRon Schwessinger, Matthew Gosden, Damien Downes, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|December 5, 2017
Sparse graphs using exchangeable random measuresFrançois Caron, Emily B Fox
Annual Review of Statistics and Its Application|October 16, 2023
Granger Causality: A Review and Recent AdvancesAli Shojaie, Emily B Fox
Current Opinion in Neurobiology|February 12, 2019
Statistical model-based approaches for functional connectivity analysis of neuroimaging dataNicholas J Foti, Emily B Fox
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