Artículos con órdenes de acceso público - David BarberMás información
Disponibles en algún lugar: 19
A scalable laplace approximation for neural networks
H Ritter, A Botev, D Barber
6th international conference on learning representations, ICLR 2018 …, 2018
Órdenes: UK Engineering and Physical Sciences Research Council
Thinking fast and slow with deep learning and tree search
T Anthony, Z Tian, D Barber
Advances in neural information processing systems 30, 2017
Órdenes: UK Engineering and Physical Sciences Research Council
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
H Ritter, A Botev, D Barber
Neural Information Processing Systems, 2018
Órdenes: UK Engineering and Physical Sciences Research Council
Modular networks: Learning to decompose neural computation
L Kirsch, J Kunze, D Barber
Advances in neural information processing systems 31, 2018
Órdenes: UK Engineering and Physical Sciences Research Council, European Commission
Computed tomographic biomarkers in idiopathic pulmonary fibrosis. The future of quantitative analysis
X Wu, GH Kim, ML Salisbury, D Barber, BJ Bartholmai, KK Brown, ...
American journal of respiratory and critical care medicine 199 (1), 12-21, 2019
Órdenes: US National Institutes of Health
Wider and deeper, cheaper and faster: Tensorized lstms for sequence learning
Z He, S Gao, L Xiao, D Liu, H He, D Barber
Advances in neural information processing systems 30, 2017
Órdenes: National Natural Science Foundation of China, UK Engineering and Physical …
Generative neural machine translation
H Shah, D Barber
Advances in Neural Information Processing Systems 31, 2018
Órdenes: UK Engineering and Physical Sciences Research Council
Approximate newton methods for policy search in markov decision processes
T Furmston, G Lever, D Barber
Journal of Machine Learning Research 17 (226), 1-51, 2016
Órdenes: UK Engineering and Physical Sciences Research Council
Complementary sum sampling for likelihood approximation in large scale classification
A Botev, B Zheng, D Barber
Artificial Intelligence and Statistics, 1030-1038, 2017
Órdenes: UK Engineering and Physical Sciences Research Council
Auxiliary variational MCMC
R Habib, D Barber
7th International Conference on Learning Representations, ICLR 2019, 1-13, 2019
Órdenes: UK Engineering and Physical Sciences Research Council
Mortality surrogates in combined pulmonary fibrosis and emphysema
A Zhao, E Gudmundsson, N Mogulkoc, C van Moorsel, TJ Corte, ...
European Respiratory Journal 63 (4), 2024
Órdenes: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Mortality in combined pulmonary fibrosis and emphysema patients is determined by the sum of pulmonary fibrosis and emphysema
A Zhao, E Gudmundsson, N Mogulkoc, MG Jones, C van Moorsel, ...
ERJ open research 7 (3), 2021
Órdenes: National Institute for Health Research, UK, Wellcome Trust
Generating sentences using a dynamic canvas
H Shah, B Zheng, D Barber
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Órdenes: UK Engineering and Physical Sciences Research Council
A simple alternative derivation of the expectation correction algorithm
B Mesot, D Barber
IEEE Signal Processing Letters 16 (2), 121-124, 2009
Órdenes: Swiss National Science Foundation
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
Y Lu, S Aslani, A Zhao, A Shahin, D Barber, M Emberton, DC Alexander, ...
Heliyon 9 (8), 2023
Órdenes: US National Institutes of Health, Cancer Research UK, UK Engineering and …
Prognostic imaging biomarker discovery in survival analysis for idiopathic pulmonary fibrosis
A Zhao, AH Shahin, Y Zhou, E Gudmundsson, A Szmul, N Mogulkoc, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Órdenes: UK Engineering and Physical Sciences Research Council, National Institute …
CenTime: Event-conditional modelling of censoring in survival analysis
AH Shahin, A Zhao, AC Whitehead, DC Alexander, J Jacob, D Barber
Medical Image Analysis 91, 103016, 2024
Órdenes: National Institute for Health Research, UK, Wellcome Trust
Overdispersed variational autoencoders
H Shah, D Barber, A Botev
2017 International Joint Conference on Neural Networks (IJCNN), 1109-1116, 2017
Órdenes: UK Engineering and Physical Sciences Research Council
Improving latent variable descriptiveness by modelling rather than ad-hoc factors
A Mansbridge, R Fierimonte, I Feige, D Barber
Machine Learning 108, 1601-1611, 2019
Órdenes: UK Engineering and Physical Sciences Research Council
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