Hilbert Johan Kappen

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	Tutte	Dal 2016
Citazioni	6159	2331
Indice H	41	26
i10-index	112	58

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Vicenç GómezArtificial Intelligence and Machine Learning research group, Universitat Pompeu FabraEmail verificata su upf.edu
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenEmail verificata su science.ru.nl
Ali Taylan CemgilResearcher, DeepMind UK, Prof. (on leave) from Bogazici University, Istanbul, TurkeyEmail verificata su boun.edu.tr
Joaquín J. TorresProfessor of Condensed Matter Physics, Department of Electromagnetism and Physics of the MatterEmail verificata su onsager.ugr.es
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Email verificata su uva.nl
Mohammad Gheshlaghi AzarResearch Scientist at DeepMindEmail verificata su google.com
Rémi MunosDeepMindEmail verificata su inria.fr
Francisco B RodriguezProfessor of Computer Science - Universidad Autónoma de MadridEmail verificata su uam.es
Michael (Misha) ChertkovChair, Program in Applied Mathematics, University of ArizonaEmail verificata su math.arizona.edu
Joris BierkensTechnische Universiteit DelftEmail verificata su tudelft.nl
Andreas KaltenbrunnerUniversitat Pompeu FabraEmail verificata su upf.edu
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities & Faculty of Science, ILLC, UvAEmail verificata su uva.nl
Ole JensenSchool of Psychology, University of BirminghamEmail verificata su bham.ac.uk
Nelly LitvakUniversity of Twente, COSTNET CA15109Email verificata su utwente.nl
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email daniele.marinazzo@ugent.beEmail verificata su ugent.be
Max WellingProfessor Machine Learning, University of AmsterdamEmail verificata su uva.nl
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindEmail verificata su stats.ox.ac.uk
Scott BackhausNational Institute of Standards and TechnologyEmail verificata su nist.gov
Shotaro AkahoAISTEmail verificata su aist.go.jp
Melanie BahloTheme Leader, Healthy Development and Ageing, The Walter and Eliza Hall Institute ofEmail verificata su wehi.edu.au

Hilbert Johan Kappen

Radboud University

Email verificata su science.ru.nl - Home page

artificial intelligence machine learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Sufficient conditions for convergence of the sum–product algorithm JM Mooij, HJ Kappen IEEE Transactions on Information Theory 53 (12), 4422-4437, 2007	271	2007
Linear theory for control of nonlinear stochastic systems HJ Kappen Physical review letters 95 (20), 200201, 2005	268	2005
Path integrals and symmetry breaking for optimal control theory HJ Kappen Journal of statistical mechanics: theory and experiment 2005 (11), P11011, 2005	267	2005
Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87 (2), 159-182, 2012	264	2012
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	252	2000
Efficient learning in Boltzmann machines using linear response theory HJ Kappen, FB Rodríguez Neural Computation 10 (5), 1137-1156, 1998	222	1998
Learning processes in neural networks TM Heskes, B Kappen Physical Review A 44 (4), 2718, 1991	179	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	162	2006
Approximate inference and constrained optimization T Heskes, K Albers, B Kappen Uncertainty in Artificial Intelligence 13, 313-320, 2003	139*	2003
Associative memory with dynamic synapses L Pantic, JJ Torres, HJ Kappen, SCAM Gielen Neural Computation 14 (12), 2903-2923, 2002	132	2002
Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of Artificial Intelligence Research 18 (1), 45-81, 2003	131	2003
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	123	2007
On-line learning processes in artificial neural networks TM Heskes, B Kappen North-Holland Mathematical Library 51, 199-233, 1993	118	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	103	2017
Dynamic policy programming MG Azar, V Gómez, HJ Kappen The Journal of Machine Learning Research 13 (1), 3207-3245, 2012	98	2012
Speedy Q-learning MG Azar, R Munos, M Ghavamzadaeh, HJ Kappen Spain, Granada: NIPS, 2011	95	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	83	2013
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	69	2011

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