Следене
David Barber
David Barber
Department of Computer Science, University College London
Потвърден имейл адрес: ucl.ac.uk
Заглавие
Позовавания
Позовавания
Година
Bayesian reasoning and machine learning
D Barber
Cambridge University Press, 2012
25702012
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
10661998
The IM algorithm: a variational approach to information maximization
DBF Agakov
Advances in neural information processing systems 16 (320), 201, 2004
514*2004
A scalable laplace approximation for neural networks
H Ritter, A Botev, D Barber
6th international conference on learning representations, ICLR 2018 …, 2018
4842018
Thinking fast and slow with deep learning and tree search
T Anthony, Z Tian, D Barber
Advances in neural information processing systems 30, 2017
4292017
Bayesian time series models
D Barber, AT Cemgil, S Chiappa
Cambridge University Press, 2011
4042011
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
H Ritter, A Botev, D Barber
Neural Information Processing Systems, 2018
3472018
Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning
JP Pfister, T Toyoizumi, D Barber, W Gerstner
Neural computation 18 (6), 1318-1348, 2006
3072006
Ensemble learning in Bayesian neural networks
D Barber, CM Bishop
Nato ASI Series F Computer and Systems Sciences 168, 215-238, 1998
2951998
Practical Gauss-Newton optimisation for deep learning
A Botev, H Ritter, D Barber
International Conference on Machine Learning, 557-565, 2017
2592017
Nesterov's accelerated gradient and momentum as approximations to regularised update descent
A Botev, G Lever, D Barber
2017 International joint conference on neural networks (IJCNN), 1899-1903, 2017
1982017
A generative model for music transcription
AT Cemgil, HJ Kappen, D Barber
IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 679-694, 2006
1852006
Practical Lossless Compression with Latent Variables using Bits Back Coding
james townsend
1572019
Thermodynamics of rock deformation by pressure solution
DJ Barber, PG Meredith, FK Lehner
Deformation processes in minerals, ceramics and rocks, 296-333, 1990
1501990
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
1402019
Modular networks: Learning to decompose neural computation
L Kirsch, J Kunze, D Barber
Advances in neural information processing systems 31, 2018
1362018
Ensemble learning for multi-layer networks
D Barber, C Bishop
Advances in neural information processing systems 10, 1997
1251997
Gaussian processes for Bayesian classification via hybrid Monte Carlo
D Barber, C Williams
Advances in neural information processing systems 9, 1996
1141996
On the computational complexity of stochastic controller optimization in POMDPs
N Vlassis, ML Littman, D Barber
ACM Transactions on Computation Theory (TOCT) 4 (4), 1-8, 2012
1102012
Expectation correction for smoothed inference in switching linear dynamical systems.
D Barber
Journal of Machine Learning Research 7 (11), 2006
1102006
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Статии 1–20