David Barber

Cited by

	All	Since 2016
Citations	6773	4228
h-index	34	26
i10-index	66	44

1100

550

275

825

199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202118 44 45 41 47 45 57 55 89 116 113 146 114 139 170 211 286 300 404 424 439 702 836 1001 819

Public access

View all

14 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Silvia ChiappaSenior Staff Research Scientist, DeepMind; Honorary Professor, UCLVerified email at google.com
Aleksandar BotevGoogle DeepmindVerified email at google.com
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
Peter SollichProfessor of Non-Equilibrium Statistical PhysicsVerified email at uni-goettingen.de
Hippolyt RitterUniversity College LondonVerified email at cs.ucl.ac.uk
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Hilbert Johan KappenRadboud UniversityVerified email at science.ru.nl
Thomas BirdUniversity College LondonVerified email at ucl.ac.uk
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Institute of Neuroinformatics, University of Zurich and ETHVerified email at ini.uzh.ch
Wulfram GerstnerEPFLVerified email at epfl.ch
Christopher M. BishopDistinguished Scientist, Microsoft Research, Cambridge, U.K.Verified email at microsoft.com
David SaadAston UniversityVerified email at aston.ac.uk
Wim WiegerinckResearcher machine learning, Radboud University, NijmegenVerified email at science.ru.nl
Taro ToyoizumiRIKEN Center for Brain ScienceVerified email at riken.jp
Julius KunzeUniversity College LondonVerified email at ucl.ac.uk
Guy LeverVerified email at google.com
Raza HabibUCLVerified email at ucl.ac.uk
Thomas William AnthonyGoogle DeepMindVerified email at google.com
Zheng TianUniversity College LondonVerified email at ucl.ac.uk
Joe StainesJ.P. Morgan Asset ManagementVerified email at jpmorgan.com

David Barber

Department of Computer Science, University College London

Verified email at ucl.ac.uk

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian reasoning and machine learning D Barber Cambridge University Press, 2012	1882	2012
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (12), 1342 …, 1998	900	1998
Bayesian time series models D Barber, AT Cemgil, S Chiappa Cambridge University Press, 2011	282	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	271	2006
The IM algorithm: a variational approach to information maximization DBF Agakov Advances in neural information processing systems 16 (320), 201, 2004	265	2004
Thinking fast and slow with deep learning and tree search T Anthony, Z Tian, D Barber arXiv preprint arXiv:1705.08439, 2017	212	2017
Ensemble learning in Bayesian neural networks D Barber, CM Bishop Nato ASI Series F Computer and Systems Sciences 168, 215-238, 1998	182	1998
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	162	2006
A scalable laplace approximation for neural networks H Ritter, A Botev, D Barber 6th International Conference on Learning Representations, ICLR 2018 …, 2018	143	2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting H Ritter, A Botev, D Barber Neural Information Processing Systems, 2018	134	2018
Gaussian processes for Bayesian classification via hybrid Monte Carlo D Barber, CKI Williams Advances in neural information processing systems, 340-346, 1997	107	1997
Ensemble learning for multi-layer networks D Barber, CM Bishop Advances in neural information processing systems, 395-401, 1998	104	1998
Practical gauss-newton optimisation for deep learning A Botev, H Ritter, D Barber International Conference on Machine Learning, 557-565, 2017	101	2017
Expectation correction for smoothed inference in switching linear dynamical systems. D Barber Journal of Machine Learning Research 7 (11), 2006	94	2006
Switching linear dynamical systems for noise robust speech recognition B Mesot, D Barber IEEE Transactions on Audio, Speech, and Language Processing 15 (6), 1850-1858, 2007	82	2007
Graphical models for time-series D Barber, AT Cemgil IEEE Signal Processing Magazine 27 (6), 18-28, 2010	75	2010
An auxiliary variational method FV Agakov, D Barber International Conference on Neural Information Processing, 561-566, 2004	67	2004
Gaussian processes for Bayesian estimation in ordinary differential equations D Barber, Y Wang International conference on machine learning, 1485-1493, 2014	66	2014
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	65	2017
Gaussian Kullback-Leibler Approximate Inference. E Challis, D Barber Journal of Machine Learning Research 14 (8), 2013	64	2013

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors