David MacKay

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H. K. D. H. BhadeshiaProfessor of Metallurgy, Queen Mary University of LondonVerified email at qmul.ac.uk
Iain MurraySchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Verified email at utstat.toronto.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Alan BlackwellProfessor of Interdisciplinary Design, University of CambridgeVerified email at cam.ac.uk
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
Kenneth D. MillerProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergVerified email at dkfz.de
Philip John WithersUniversity of ManchesterVerified email at manchester.ac.uk
Tony RobinsonSpeechmatics (Cantab Research Limited)Verified email at tonyRobinson.com
John Paulin HansenProfessor, Technical University of DenmarkVerified email at dtu.dk
Keith VertanenAssociate Professor, Michigan Technological UniversityVerified email at mtu.edu
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLVerified email at ucl.ac.uk
Andrew M. ChildsJoint Center for Quantum Information and Computer Science, University of MarylandVerified email at umd.edu
Dan Witzner HansenProfessor, IT University of CopenhagenVerified email at itu.dk
Robert MacKayProfessor of Mathematics, University of WarwickVerified email at warwick.ac.uk

David MacKay

Professor of Natural Philosophy, Cavendish Laboratory, University of Cambridge

Verified email at mrao.cam.ac.uk - Homepage

Information Theory and Error-correcting Codes Reliable Computation with Unreliable Hardware Machine Learning and Bayesian Data Modelling Sustainable Energy and Public Understanding of Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
[Slice Sampling]: Discussion J Skilling, DJC MacKay Annals of Statistics, 753-755, 2003	14	2003
1 Density Modelling DJC MacKay, MN Gibbs
11 From the Paris Agreement to the Carbon Convergence P Cramton, DJC MacKay, A Ockenfels, S Stoft, RN Cooper, C Gollier The MIT Press, 2017		2017
3 Reflections on the International Coordination of Carbon Pricing P Cramton, DJC MacKay, A Ockenfels, S Stoft, RN Cooper, C Gollier The MIT Press, 2017		2017
8.1 Ensemble learning In many problems we aim to infer a set of model parameters, O, from a set of data, D. In the Bayesian framework this can be done by considering the … E Learning, JW Miskin, DJC MacKay Independent Component Analysis: Principles and Practice, 209, 2001		2001
A conversation about the Bethe free energy and sum-product DJC MacKay Tech. Rep. of Mitsubishi Electric Research Lab., 2001	13	2001
A Critique of the Statistical Protocol in ISO 20072 for Aerosol Drug Delivery Device Design Verification MS Christescu, MA Tirlea, CMK DJ University of Cambridge, Department of Engineering, 2016	1	2016
A critique of the statistical protocol in ISO 20072 for aerosol drug delivery device design verification. D MacKay, MS Christescu, MA Tirlea University of Cambridge, 2016		2016
A critique of the statistical protocol in ISO 20072 for aerosol drug delivery device design verification. CUED/F-INFENG/TR. 703 October 8, 2016 MS Christescu, MA Tirlea, DJC MacKay UNIVERSITY OF CAMBRIDGE DEPARTMENT OF ENGINEERING-PUBLICATIONS-ALL SERIES …, 2016		2016
A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer AM Martoglio, JW Miskin, SK Smith, DJC MacKay Bioinformatics 18 (12), 1617-1624, 2002	85	2002
A flux-carrier hypothesis of drug action D Mackay Nature 197 (4873), 1171-1173, 1963	19	1963
A free energy energy minimization framework for inference problems in modulo 2 arithmetic DJC MACKAY Fast Software Encryption-FSE'94, 1995		1995
A free energy minimization framework for inference problems in modulo 2 arithmetic DJC MacKay Fast Software Encryption: Second International Workshop Leuven, Belgium …, 1995	33	1995
A Free Energy Minimization Framework for Inferring the State of a Shift Register Given the Noisy Output Sequence DJC MacKay KU Leuven Workshop on Cryptographic Algorithms, Springer–Verlag, 1995, to appear, 1995	7	1995
A hierarchical Dirichlet language model DJC MacKay, LCB Peto Natural language engineering 1 (3), 289-308, 1995	427	1995
A practica; bayesian framework for backprop networks D MacKay David, 0	3
A practical Bayesian framework for backpropagation networks DJC MacKay Neural computation 4 (3), 448-472, 1992	4035	1992
A problem with variational free energy minimization DJC MacKay Technical report, Department of Physics, University of Cambridge, 2001	7	2001
A recurrent neural network for modelling dynamical systems CAL Bailer-Jones, DJC MacKay, PJ Withers network: computation in neural systems 9 (4), 531, 1998	92	1998
A restatement of the natural science evidence base concerning the health effects of low-level ionizing radiation AR McLean, EK Adlen, E Cardis, A Elliott, DT Goodhead, ... Proceedings of the Royal Society B: Biological Sciences 284 (1862), 20171070, 2017	98	2017

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