Hilbert Johan Kappen 个人学术档案

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引用	8136	3085
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Vicenç GómezArtificial Intelligence and Machine Learning research group. Universitat Pompeu Fabra.在 upf.edu 的电子邮件经过验证
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University Nijmegen在 science.ru.nl 的电子邮件经过验证
Ali Taylan CemgilResearch Scientist, DeepMind UK在 google.com 的电子邮件经过验证
Mohammad Gheshlaghi AzarCohere在 google.com 的电子邮件经过验证
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)在 uva.nl 的电子邮件经过验证
Rémi MunosGoogle DeepMind在 inria.fr 的电子邮件经过验证
Francisco B Rodriguez (ORCID: 0000-...Profesor Titular Universidad of Computer Science - Universidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
Michael (Misha) ChertkovChair, Program in Applied Mathematics, University of Arizona在 math.arizona.edu 的电子邮件经过验证
Andreas KaltenbrunnerUniversitat Pompeu Fabra在 upf.edu 的电子邮件经过验证
Joris BierkensTechnische Universiteit Delft在 tudelft.nl 的电子邮件经过验证
Henkjan HoningProfessor of Music Cognition, Faculty of Humanities & Faculty of Science, University of Amsterdam在 uva.nl 的电子邮件经过验证
Nelly LitvakUniversity of Twente, COSTNET CA15109在 utwente.nl 的电子邮件经过验证
Shotaro AkahoAIST在 aist.go.jp 的电子邮件经过验证
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email [email protected]在 ugent.be 的电子邮件经过验证
Scott BackhausNational Institute of Standards and Technology在 nist.gov 的电子邮件经过验证
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind在 stats.ox.ac.uk 的电子邮件经过验证
Melanie BahloTheme Leader, Healthy Development and Ageing, The Walter and Eliza Hall Institute of在 wehi.edu.au 的电子邮件经过验证
David TaxAssistant professor, Delft University of Technology在 tudelft.nl 的电子邮件经过验证
Samuel JohnsonAssociate Professor of Mathematics, University of Birmingham在 bham.ac.uk 的电子邮件经过验证

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Hilbert Johan Kappen

Radboud University

在 science.ru.nl 的电子邮件经过验证 - 首页

artificial intelligence machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87, 159-182, 2012	416	2012
Path integrals and symmetry breaking for optimal control theory HJ Kappen Journal of statistical mechanics: theory and experiment 2005 (11), P11011, 2005	395	2005
Linear theory for control of nonlinear stochastic systems HJ Kappen Physical review letters 95 (20), 200201, 2005	337	2005
Sufficient conditions for convergence of the sum–product algorithm JM Mooij, HJ Kappen IEEE Transactions on Information Theory 53 (12), 4422-4437, 2007	308	2007
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	291	2013
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	267	2000
Efficient learning in Boltzmann machines using linear response theory HJ Kappen, FDB Rodríguez Neural Computation 10 (5), 1137-1156, 1998	241	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	232	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	218	2019
Learning processes in neural networks TM Heskes, B Kappen Physical Review A 44 (4), 2718, 1991	180	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	177	2006
An introduction to stochastic control theory, path integrals and reinforcement learning HJ Kappen AIP conference proceedings 887 (1), 149-181, 2007	174	2007
Speedy Q-learning MG Azar, R Munos, M Ghavamzadeh, H Kappen Advances in neural information processing systems, ?, 2011	159	2011
Dynamic policy programming MG Azar, V Gómez, HJ Kappen The Journal of Machine Learning Research 13 (1), 3207-3245, 2012	152	2012
Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of Artificial Intelligence Research 18 (1), 45-81, 2003	146	2003
Approximate inference and constrained optimization T Heskes, K Albers, B Kappen Uncertainty in Artificial Intelligence 13, 313-320, 2003	144*	2003
Associative memory with dynamic synapses L Pantic, JJ Torres, HJ Kappen, SCAM Gielen Neural Computation 14 (12), 2903-2923, 2002	139	2002
On-line learning processes in artificial neural networks TM Heskes, B Kappen North-Holland Mathematical Library 51, 199-233, 1993	138	1993
Rhythm quantization for transcription AT Cemgil, P Desain, B Kappen Computer Music Journal 24 (2), 60-76, 2000	135	2000
Adaptive importance sampling for control and inference HJ Kappen, HC Ruiz Journal of Statistical Physics 162, 1244-1266, 2016	120	2016

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