Hilbert Johan Kappen

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Vicenç GómezArtificial Intelligence and Machine Learning research group. Universitat Pompeu Fabra.Verified email at upf.edu
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenVerified email at science.ru.nl
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
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 RodriguezProfesor Titular Universidad 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 KaltenbrunnerUniversitat Pompeu FabraVerified email at upf.edu
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities & Faculty of Science, University of AmsterdamVerified 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
Shotaro AkahoAISTVerified email at aist.go.jp
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email daniele.marinazzo@ugent.beVerified email at ugent.be
Scott BackhausNational Institute of Standards and TechnologyVerified email at nist.gov
Max WellingDistinguished Scientist at MSR AI4Science & Professor 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
Melanie BahloTheme Leader, Healthy Development and Ageing, The Walter and Eliza Hall Institute ofVerified email at wehi.edu.au
David TaxAssistant professor, Delft University of TechnologyVerified email at tudelft.nl

Hilbert Johan Kappen

Radboud University

Verified email at science.ru.nl - Homepage

artificial intelligence machine learning


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Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87, 159-182, 2012	382	2012
Path integrals and symmetry breaking for optimal control theory HJ Kappen Journal of statistical mechanics: theory and experiment 2005 (11), P11011, 2005	373	2005
Linear theory for control of nonlinear stochastic systems HJ Kappen Physical review letters 95 (20), 200201, 2005	324	2005
Sufficient conditions for convergence of the sum–product algorithm JM Mooij, HJ Kappen IEEE Transactions on Information Theory 53 (12), 4422-4437, 2007	302	2007
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	268	2000
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model M Gheshlaghi Azar, R Munos, HJ Kappen Machine learning 91, 325-349, 2013	263	2013
Efficient learning in Boltzmann machines using linear response theory HJ Kappen, FDB Rodríguez Neural Computation 10 (5), 1137-1156, 1998	235	1998
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	203	2017
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment KN McGuire, C De Wagter, K Tuyls, HJ Kappen, GCHE de Croon Science Robotics 4 (35), eaaw9710, 2019	179	2019
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	176	2006
Learning processes in neural networks TM Heskes, B Kappen Physical Review A 44 (4), 2718, 1991	175	1991
An introduction to stochastic control theory, path integrals and reinforcement learning HJ Kappen AIP conference proceedings 887 (1), 149-181, 2007	161	2007
Speedy Q-learning MG Azar, R Munos, M Ghavamzadeh, H Kappen Advances in neural information processing systems, ?, 2011	146	2011
Dynamic policy programming MG Azar, V Gómez, HJ Kappen The Journal of Machine Learning Research 13 (1), 3207-3245, 2012	143	2012
Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of Artificial Intelligence Research 18 (1), 45-81, 2003	142	2003
Approximate inference and constrained optimization T Heskes, K Albers, B Kappen Uncertainty in Artificial Intelligence 13, 313-320, 2003	140*	2003
Associative memory with dynamic synapses L Pantic, JJ Torres, HJ Kappen, SCAM Gielen Neural Computation 14 (12), 2903-2923, 2002	138	2002
Rhythm quantization for transcription AT Cemgil, P Desain, B Kappen Computer Music Journal 24 (2), 60-76, 2000	135	2000
On-line learning processes in artificial neural networks TM Heskes, B Kappen North-Holland Mathematical Library 51, 199-233, 1993	133	1993
Adaptive importance sampling for control and inference HJ Kappen, HC Ruiz Journal of Statistical Physics 162, 1244-1266, 2016	113	2016

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