David Barber

Cited by

	All	Since 2018
Citations	8752	5058
h-index	38	28
i10-index	81	48

1200

600

300

900

1995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202324 21 28 51 57 49 52 58 61 69 96 130 123 154 128 148 165 223 299 312 409 413 440 695 832 992 1172 1134 231

Public access

View all

15 articles

1 article

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 Non-Equilibrium Statistical Physics, Inst. for Theor. Physics, University of GoettingenVerified email at uni-goettingen.de
Thomas BirdUniversity College LondonVerified email at ucl.ac.uk
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Christopher M. BishopTechnical Fellow, Microsoft Research, Cambridge, U.K.Verified email at microsoft.com
Hilbert Johan KappenRadboud UniversityVerified email at science.ru.nl
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
Wim WiegerinckResearcher machine learning, Radboud University, NijmegenVerified email at science.ru.nl
Julius KunzeUniversity College LondonVerified email at ucl.ac.uk
Mingtian ZhangPhD student, University College LondonVerified email at ucl.ac.uk
Raza HabibUCLVerified email at ucl.ac.uk
David SaadAston UniversityVerified email at aston.ac.uk
Taro ToyoizumiRIKEN Center for Brain ScienceVerified email at riken.jp
James TownsendUniversity of AmsterdamVerified email at uva.nl
Louis KirschThe Swiss AI Lab IDSIAVerified email at idsia.ch
Guy LeverVerified email at google.com
Thomas William AnthonyGoogle DeepMindVerified email at google.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	2201	2012
Bayesian classification with Gaussian processes CKI Williams, D Barber IEEE Transactions on pattern analysis and machine intelligence 20 (12), 1342 …, 1998	964	1998
The IM algorithm: a variational approach to information maximization DBF Agakov Advances in neural information processing systems 16 (320), 201, 2004	375*	2004
Bayesian time series models D Barber, AT Cemgil, S Chiappa Cambridge University Press, 2011	343	2011
Thinking fast and slow with deep learning and tree search T Anthony, Z Tian, D Barber Advances in neural information processing systems 30, 2017	299	2017
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	290	2006
A scalable laplace approximation for neural networks H Ritter, A Botev, D Barber 6th International Conference on Learning Representations, ICLR 2018 …, 2018	275	2018
Ensemble learning in Bayesian neural networks D Barber, CM Bishop Nato ASI Series F Computer and Systems Sciences 168, 215-238, 1998	245	1998
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting H Ritter, A Botev, D Barber Neural Information Processing Systems, 2018	225	2018
Practical gauss-newton optimisation for deep learning A Botev, H Ritter, D Barber International Conference on Machine Learning, 557-565, 2017	176	2017
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	172	2006
Thermodynamics of rock deformation by pressure solution DJ Barber, PG Meredith, FK Lehner Deformation processes in minerals, ceramics and rocks, 296-333, 1990	147	1990
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	135	2017
Ensemble learning for multi-layer networks D Barber, C Bishop Advances in neural information processing systems 10, 1997	111	1997
Gaussian processes for Bayesian classification via hybrid Monte Carlo D Barber, C Williams Advances in neural information processing systems 9, 1996	107	1996
Expectation correction for smoothed inference in switching linear dynamical systems. D Barber Journal of Machine Learning Research 7 (11), 2006	102	2006
Practical Lossless Compression with Latent Variables using Bits Back Coding james townsend	100	2019
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	98	2019
Modular networks: Learning to decompose neural computation L Kirsch, J Kunze, D Barber Advances in neural information processing systems 31, 2018	89	2018
Graphical models for time-series D Barber, AT Cemgil IEEE Signal Processing Magazine 27 (6), 18-28, 2010	85	2010

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

Cited by

Co-authors