Carl Edward Rasmussen

Cited by

	All	Since 2019
Citations	63494	36821
h-index	65	52
i10-index	107	89

7000

3500

1750

5250

200420052006200720082009201020112012201320142015201620172018201920202021202220232024171 243 285 539 717 890 1133 1377 1723 2066 2406 2861 3147 3589 4554 5188 6028 6598 6638 6466 5894

Public access

View all

21 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Chris WilliamsProfessor of Machine Learning, University of EdinburghVerified email at inf.ed.ac.uk
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Joaquin Quiñonero CandelaOpenAIVerified email at openai.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Mark van der WilkAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Roderick Murray-SmithProfessor of Computing Science, University of Glasgow, School of Computing ScienceVerified email at glasgow.ac.uk
Hannes NickischPhilips ResearchVerified email at philips.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Malte KussVerified email at alumni.tu-berlin.de
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.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
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Fabian SinzProfessor for Machine Learning, University GöttingenVerified email at cs.uni-goettingen.de
Rowan McAllisterWaymoVerified email at waymo.com
Jan LarsenTechnical University of Denmark, DTU ComputeVerified email at dtu.dk
Matthew J. BealChicago Trading CompanyVerified email at chicagotrading.com
James HensmanMicrosoft ResearchVerified email at microsoft.com
Olivier BousquetGoogleVerified email at m4x.org

Carl Edward Rasmussen

Professor of Machine Learning, University of Cambridge

Verified email at cam.ac.uk - Homepage

Gaussian processes Bayesian inference machine learning climate change


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	36269	2006
A unifying view of sparse approximate Gaussian process regression J Quiñonero-Candela, CE Rasmussen The Journal of Machine Learning Research 6, 1939-1959, 2005	2622	2005
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	2083	2011
Gaussian processes for regression CKI Williams, CE Rasmussen Advances in Neural Processing Systems 8, 514 - 520, 1996	2003	1996
The infinite Gaussian mixture model CE Rasmussen Advances in neural information processing systems 12, 1999	1873	1999
Gaussian processes for machine learning (GPML) toolbox CE Rasmussen, H Nickisch The Journal of Machine Learning Research 11, 3011-3015, 2010	1320	2010
The infinite hidden Markov model MJ Beal, Z Ghahramani, CE Rasmussen Advances in neural information processing systems 14, 577-584, 2002	895	2002
Gaussian Processes for Data-Efficient Learning in Robotics and Control M Deisenroth, D Fox, CE Rasmussen IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 408-423, 2015	880	2015
Gaussian Process priors with uncertain inputs - Application to multiple-step ahead time series forecasting A Girard, CE Rasmussen, J Quinonero-Candela, R Murray-Smith Neural Information Processing Systems (NIPS), 545-552, 2003	677*	2003
Infinite mixtures of Gaussian process experts CE Rasmussen, Z Ghahramani Advances in neural information processing systems 14 2, 881-888, 2002	675	2002
Evaluation of Gaussian processes and other methods for non-linear regression CE Rasmussen University of Toronto Toronto, Canada, 1997	674	1997
Sparse spectrum Gaussian process regression M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ... The Journal of Machine Learning Research 11, 1865-1881, 2010	612	2010
Approximations for binary Gaussian process classification H Nickisch, CE Rasmussen Journal of Machine Learning Research 9 (Oct), 2035-2078, 2008	506	2008
Warped Gaussian processes E Snelson, CE Rasmussen, Z Ghahramani Advances in neural information processing systems 16, 337-344, 2004	472	2004
Gaussian Processes in Machine Learning CE Rasmussen Summer school on machine learning, 63-71, 2003	469*	2003
Additive Gaussian Processes D Duvenaud, H Nickisch, CE Rasmussen Neural Information Processing Systems 24, 226-234, 2012	440	2012
Derivative observations in Gaussian process models of dynamic systems E Solak, R Murray-Smith, WE Leithead, DJ Leith, CE Rasmussen MIT Press, 2003	432	2003
Assessing Approximate Inference for Binary Gaussian Process Classification. M Kuss, CE Rasmussen Journal of machine learning research 6 (10), 2005	427	2005
Occam's razor C Rasmussen, Z Ghahramani Advances in neural information processing systems 13, 2000	416	2000
Bayesian monte Carlo CE Rasmussen, Z Ghahramani Advances in neural information processing systems 15, 489-496, 2003	382*	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

Follow

Cited by

Co-authors