Hilbert Johan Kappen - Google Scholar

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	All	Since 2015
Citations	5881	2430
h-index	41	27
i10-index	111	63

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Vicenç GómezArtificial Intelligence and Machine Learning research group, Universitat Pompeu FabraVerified email at upf.edu
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenVerified email at science.ru.nl
Ali Taylan CemgilResearcher, DeepMind UK, Prof. (on leave) from Bogazici University, Istanbul, TurkeyVerified email at boun.edu.tr
Joaquín J. TorresProfessor of Condensed Matter Physics, Department of Electromagnetism and Physics of the MatterVerified email at onsager.ugr.es
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl
Mohammad Gheshlaghi AzarResearch Scientist at DeepMindVerified email at google.com
Rémi MunosDeepMindVerified email at inria.fr
Francisco B RodriguezProfessor of Computer Science - Universidad Autónoma de MadridVerified email at uam.es
Michael (Misha) ChertkovChair, Program in Applied Mathematics, University of ArizonaVerified email at math.arizona.edu
Joris BierkensTechnische Universiteit DelftVerified email at tudelft.nl
Andreas KaltenbrunnerDirector of Data Analytics, NTENT | Universitat Pompeu FabraVerified email at upf.edu
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities and Faculty of Sciences, ILLC, University ofVerified email at uva.nl
Ole JensenSchool of Psychology, University of BirminghamVerified email at bham.ac.uk
Nelly LitvakUniversity of Twente, COSTNET CA15109Verified email at utwente.nl
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email daniele.marinazzo@ugent.beVerified email at ugent.be
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Scott BackhausNational Institute of Standards and TechnologyVerified email at nist.gov
Shotaro AkahoAISTVerified email at aist.go.jp
Melanie BahloTheme Leader, Healthy Development and Ageing, The Walter and Eliza Hall Institute ofVerified email at wehi.edu.au

Hilbert Johan Kappen

Radboud University

Verified email at science.ru.nl - Homepage

artificial intelligence machine learning


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Sufficient conditions for convergence of the sum–product algorithm JM Mooij, HJ Kappen IEEE Transactions on Information Theory 53 (12), 4422-4437, 2007	261	2007
Linear theory for control of nonlinear stochastic systems HJ Kappen Physical review letters 95 (20), 200201, 2005	254	2005
Path integrals and symmetry breaking for optimal control theory HJ Kappen Journal of statistical mechanics: theory and experiment 2005 (11), P11011, 2005	248	2005
On tempo tracking: Tempogram representation and Kalman filtering AT Cemgil, B Kappen, P Desain, H Honing Journal of New Music Research 29 (4), 259-273, 2000	247	2000
Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87 (2), 159-182, 2012	242	2012
Efficient learning in Boltzmann machines using linear response theory HJ Kappen, FB Rodríguez Neural Computation 10 (5), 1137-1156, 1998	213	1998
Learning processes in neural networks TM Heskes, B Kappen Physical Review A 44 (4), 2718, 1991	171	1991
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	161	2006
Approximate inference and constrained optimization T Heskes, K Albers, B Kappen Uncertainty in Artificial Intelligence 13, 313-320, 2003	132*	2003
Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of Artificial Intelligence Research 18 (1), 45-81, 2003	130	2003
Associative memory with dynamic synapses L Pantic, JJ Torres, HJ Kappen, SCAM Gielen Neural Computation 14 (12), 2903-2923, 2002	130	2002
Rhythm quantization for transcription AT Cemgil, P Desain, B Kappen Computer Music Journal 24 (2), 60-76, 2000	124	2000
An introduction to stochastic control theory, path integrals and reinforcement learning HJ Kappen AIP conference proceedings 887 (1), 149-181, 2007	115	2007
On-line learning processes in artificial neural networks TM Heskes, B Kappen North-Holland Mathematical Library 51, 199-233, 1993	115	1993
Efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone K McGuire, G De Croon, C De Wagter, K Tuyls, H Kappen IEEE Robotics and Automation Letters 2 (2), 1070-1076, 2017	93	2017
Dynamic policy programming MG Azar, V Gómez, HJ Kappen The Journal of Machine Learning Research 13 (1), 3207-3245, 2012	90	2012
Speedy Q-learning MG Azar, R Munos, M Ghavamzadaeh, HJ Kappen Spain, Granada: NIPS, 2011	85	2011
A two-dimensional ensemble coding model for spatial-temporal transformation of saccades in monkey superior colliculus AJ Van Opstal, H Kappen Network: Computation in Neural Systems 4 (1), 19-38, 1993	71	1993
Modeling the structure and evolution of discussion cascades V Gómez, HJ Kappen, A Kaltenbrunner Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 181-190, 2011	68	2011
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model MG Azar, R Munos, HJ Kappen Machine learning 91 (3), 325-349, 2013	66	2013

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