Carl Edward Rasmussen

Cited by

	All	Since 2016
Citations	38955	22732
h-index	52	42
i10-index	82	65

6000

3000

1500

4500

200120022003200420052006200720082009201020112012201320142015201620172018201920202021110 145 213 226 305 367 616 793 1009 1202 1434 1769 2074 2465 2858 3208 3518 4377 4972 5857 799

Co-authors

Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Joaquin Quiñonero CandelaDistinguished Tech Lead for Responsible AI at FacebookVerified email at fb.com
Roderick Murray-SmithProfessor of Computing Science, University of Glasgow, School of Computing ScienceVerified email at glasgow.ac.uk
Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Hannes NickischSenior Scientist at Philips ResearchVerified email at philips.com
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Dilan GorurDeepMindVerified email at google.com
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Roger FrigolaMachine Learning at www.rogerfrigola.comVerified email at rogerfrigola.com
Fabian SinzGroup Leader, University TübingenVerified email at uni-tuebingen.de
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Miguel Lázaro-GredillaDirector of research, Vicarious AIVerified email at vicarious.com
Samy BengioResearch Scientist, Google Research, Brain TeamVerified email at google.com
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Roberto CalandraFacebook AI ResearchVerified email at fb.com
Volker TrespLudwig Maximilian University of Munich / München (LMU) and Siemens AGVerified email at dbs.ifi.lmu.de
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Robert C. Williamson

Carl Edward Rasmussen

Professor of Machine Learning, University of Cambridge

Verified email at cam.ac.uk - Homepage

Bayesian inference machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaussian Processes for Machine Learning CE Rasmussen, CKI Williams the MIT Press, 2006	20843	2006
Gaussian processes in machine learning CE Rasmussen Advanced Lectures on Machine Learning, 63-71, 2004	20819	2004
The infinite hidden Markov model MJ Beal, Z Ghahramani, CE Rasmussen Advances in neural information processing systems 14, 577-584, 2002	2382*	2002
A unifying view of sparse approximate Gaussian process regression J Quiñonero-Candela, CE Rasmussen The Journal of Machine Learning Research 6, 1939-1959, 2005	1615	2005
The infinite Gaussian mixture model CE Rasmussen Advances in neural information processing systems 12, 554-560, 2000	1378	2000
Gaussian processes for regression CKI Williams, CE Rasmussen Advances in Neural Processing Systems 8, 514 - 520, 1996	1250	1996
PILCO: A model-based and data-efficient approach to policy search M Deisenroth, CE Rasmussen Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	1062	2011
Gaussian processes for machine learning (GPML) toolbox CE Rasmussen, H Nickisch The Journal of Machine Learning Research 11, 3011-3015, 2010	778	2010
Evaluation of Gaussian processes and other methods for non-linear regression CE Rasmussen University of Toronto, 1996	570	1996
Infinite mixtures of Gaussian process experts CE Rasmussen, Z Ghahramani Advances in neural information processing systems 14 2, 881-888, 2002	529	2002
Gaussian Process priors with uncertain inputs - Application to multiple-step ahead time series forecasting A Girard, CE Rasmussen, J Quinonero-Candela, R Murray-Smith MIT Press, 2003	490*	2003
Gaussian Processes for Data-Efficient Learning in Robotics and Control M Deisenroth, D Fox, C Rasmussen IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 408-423, 2015	470	2015
Gaussian process priors with uncertain inputs: Multiple-step ahead prediction A Girard, CE Rasmussen, R Murray-Smith Delovno porocilo DCS TR-2002-119, University of Glasgow, Glasgow, 2002	423*	2002
Sparse spectrum Gaussian process regression M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ... The Journal of Machine Learning Research 11, 1865-1881, 2010	374	2010
Approximations for binary Gaussian process classification H Nickisch, CE Rasmussen Journal of Machine Learning Research 9, 2035-2078, 2008	365	2008
Assessing approximate inference for binary Gaussian process classification M Kuss, CE Rasmussen The Journal of Machine Learning Research 6, 1679-1704, 2005	358	2005
Warped Gaussian processes E Snelson, CE Rasmussen, Z Ghahramani Advances in neural information processing systems 16, 337-344, 2004	316	2004
Derivative observations in Gaussian process models of dynamic systems E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen MIT Press, 2003	286	2003
Bayesian monte Carlo CE Rasmussen, Z Ghahramani Advances in neural information processing systems 15, 489-496, 2003	275*	2003
Gaussian Processes in Reinforcement Learning M Kuss, CE Rasmussen Advances in Neural Information Processing Systems, None, 2003	270*	2003

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

Upload PDF

Follow this author

Cited by

Co-authors