David Barber
David Barber
Department of Computer Science, University College London
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Cited by
Cited by
Bayesian reasoning and machine learning
D Barber
Cambridge University Press, 2012
Bayesian classification with Gaussian processes
CKI Williams, D Barber
IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998
An investigation of the origin of the colour of the Lycurgus Cup by analytical transmission electron microscopy
DJ Barber, IC Freestone
Archaeometry 32 (1), 33-45, 1990
The IM algorithm: a variational approach to information maximization
DBF Agakov
Advances in neural information processing systems 16 (320), 201, 2004
Bayesian time series models
D Barber, AT Cemgil, S Chiappa
Cambridge University Press, 2011
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
Thinking fast and slow with deep learning and tree search
T Anthony, Z Tian, D Barber
Advances in neural information processing systems 30, 2017
A scalable laplace approximation for neural networks
H Ritter, A Botev, D Barber
6th International Conference on Learning Representations, ICLR 2018 …, 2018
Matrix phyllosilicates and associated minerals in C2M carbonaceous chondrites
DJ Barber
Geochimica et Cosmochimica Acta 45 (6), 945-970, 1981
Ensemble learning in Bayesian neural networks
D Barber, CM Bishop
Nato ASI Series F Computer and Systems Sciences 168, 215-238, 1998
The microstructure of Semarkona and Bishunpur
CMOD Alexander, DJ Barber, R Hutchison
Geochimica et Cosmochimica Acta 53 (11), 3045-3057, 1989
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
H Ritter, A Botev, D Barber
Neural Information Processing Systems, 2018
Densification of crystalline aggregates by fluid-phase diffusional creep
DJ Barber, PG Meredith, CJ Spiers, PMTM Schutjens
Deformation processes in minerals, ceramics and rocks, 334-353, 1990
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
Practical gauss-newton optimisation for deep learning
A Botev, H Ritter, D Barber
International Conference on Machine Learning, 557-565, 2017
Origin of chondrule rims and interchondrule matrices in unequilibrated ordinary chondrites
CMO Alexander, R Hutchison, DJ Barber
Earth and Planetary Science Letters 95 (3-4), 187-207, 1989
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
Primitive material surviving in chondrites: matrix.
ERD Scott, DJ Barber, CM Alexander, R Hutchinson, JA Peck
Meteorites and the early solar system, 718-745, 1988
Ensemble learning for multi-layer networks
D Barber, C Bishop
Advances in neural information processing systems 10, 1997
Gaussian processes for Bayesian classification via hybrid Monte Carlo
D Barber, C Williams
Advances in neural information processing systems 9, 1996
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