Hilbert J. Kappen

Martijn A. R. Leisink, Hilbert J. Kappen: General Lower Bounds based on Computer Generated Higher Order Expansions. CoRR abs/1301.0581 (2013)

Hilbert J. Kappen, Vicenç Gómez, Manfred Opper: Optimal control as a graphical model inference problem. Machine Learning 87(2): 159-182 (2012)

A. Llera, Vicenç Gómez, Hilbert J. Kappen: Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals. Neural Computation 24(11): 2900-2923 (2012)

Mohammad Gheshlaghi Azar, Rémi Munos, Bert Kappen: On the Sample Complexity of Reinforcement Learning with a Generative Model . ICML 2012

Vicenç Gómez, Hilbert J. Kappen, Nelly Litvak, Andreas Kaltenbrunner: A likelihood-based framework for the analysis of discussion threads. CoRR abs/1203.0652 (2012)

Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen: Risk Sensitive Path Integral Control. CoRR abs/1203.3523 (2012)

Max Welling, Yee Whye Teh, Hilbert J. Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. CoRR abs/1206.3297 (2012)

Joris M. Mooij, Hilbert J. Kappen: Sufficient conditions for convergence of Loopy Belief Propagation. CoRR abs/1207.1405 (2012)

Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen: Learning Price-Elasticity of Smart Consumers in Power Distribution Systems. CoRR abs/1209.5656 (2012)

Tom Heskes, Kees Albers, Hilbert J. Kappen: Approximate Inference and Constrained Optimization. CoRR abs/1212.2480 (2012)

Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen: Dynamic Policy Programming with Function Approximation. Journal of Machine Learning Research - Proceedings Track 15: 119-127 (2011)

A. Llera, Marcel A. J. van Gerven, Vicenç Gómez, Ole Jensen, Hilbert J. Kappen: On the use of interaction error potentials for adaptive brain computer interfaces. Neural Networks 24(10): 1120-1127 (2011)

Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner: Modeling the structure and evolution of discussion cascades. HT 2011: 181-190

Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen: Speedy Q-Learning. NIPS 2011: 2411-2419

Ali Taylan Cemgil, Bert Kappen: Monte Carlo Methods for Tempo Tracking and Rhythm Quantization. CoRR abs/1106.4863 (2011)

Bert Kappen, Martijn A. R. Leisink: Bound Propagation. CoRR abs/1106.4865 (2011)

Joris Bierkens, Bert Kappen: KL-learning: Online solution of Kullback-Leibler control problems. CoRR abs/1112.1996 (2011)

Willem Burgers, Wim Wiegerinck, Bert Kappen, Mirano Spalburg: A Bayesian petrophysical decision support system for estimation of reservoir compositions. Expert Syst. Appl. 37(12): 7526-7532 (2010)

Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov: Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation. Journal of Machine Learning Research 11: 1273-1296 (2010)

Thomas Mensink, Jakob J. Verbeek, Bert Kappen: EP for Efficient Stochastic Control with Obstacles. ECAI 2010: 675-680

Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen: Risk Sensitive Path Integral Control. UAI 2010: 615-622

Wim Wiegerinck, Bert Kappen, Willem Burgers: Bayesian Networks for Expert Systems: Theory and Practical Applications. Interactive Collaborative Information Systems 2010: 547-578

Mohammad Gheshlaghi Azar, Hilbert J. Kappen: Dynamic Policy Programming. CoRR abs/1004.2027 (2010)

Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner: Modeling the structure and evolution of discussion cascades. CoRR abs/1011.0673 (2010)

Jorge F. Mejías, Joaquín J. Torres, Samuel Johnson, Hilbert J. Kappen: Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise. IWANN (1) 2009: 17-23

Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov: Approximate inference on planar graphs using Loop Calculus and Belief Propagation. UAI 2009: 195-202

Bert Kappen, Vicenç Gómez, Manfred Opper: Optimal control as a graphical model inference problem. CoRR abs/0901.0633 (2009)

Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov: Approximate inference on planar graphs using Loop Calculus and Belief Propagation. CoRR abs/0901.0786 (2009)

Bart van den Broek, Wim Wiegerinck, Bert Kappen: Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems. J. Artif. Intell. Res. (JAIR) 32: 95-122 (2008)

Vicenç Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen: Self-organization using synaptic plasticity. NIPS 2008: 513-520

Joris M. Mooij, Hilbert J. Kappen: Bounds on marginal probability distributions. NIPS 2008: 1105-1112

Max Welling, Yee Whye Teh, Bert Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594

Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen: Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation. Neurocomputing 70(10-12): 2022-2025 (2007)

Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo: Loop Corrected Belief Propagation. Journal of Machine Learning Research - Proceedings Track 2: 331-338 (2007)

Joris M. Mooij, Hilbert J. Kappen: Loop Corrections for Approximate Inference on Factor Graphs. Journal of Machine Learning Research 8: 1113-1143 (2007)

Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen: Truncating the Loop Series Expansion for Belief Propagation. Journal of Machine Learning Research 8: 1987-2016 (2007)

Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen: Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses. Neural Computation 19(7): 1739-1765 (2007)

Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen: Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks. Neural Computation 19(10): 2739-2755 (2007)

Joris M. Mooij, Hilbert J. Kappen: Sufficient Conditions for Convergence of the Sum-Product Algorithm. IEEE Transactions on Information Theory 53(12): 4422-4437 (2007)

Bart van den Broek, Wim Wiegerinck, Bert Kappen: Optimal Control in Large Stochastic Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 15-26

Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt: Inference in the Promedas Medical Expert System. AIME 2007: 456-460

Wim Wiegerinck, Bart van den Broek, Bert Kappen: Optimal on-line scheduling in stochastic multiagent systems in continuous space-time. AAMAS 2007: 112

Bastian Wemmenhove, Bert Kappen: Loop corrections for message passing algorithms in continuous variable models. CoRR abs/0705.4566 (2007)

Cornelis A. Albers, Martijn A. R. Leisink, Hilbert J. Kappen: The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees. BMC Bioinformatics 7(S-1) (2006)

Jesús M. Cortés, Joaquín J. Torres, Joaquín Marro, P. L. Garrido, Hilbert J. Kappen: Effects of Fast Presynaptic Noise in Attractor Neural Networks. Neural Computation 18(3): 614-633 (2006)

Ali Taylan Cemgil, Hilbert J. Kappen, D. Barber: A generative model for music transcription. IEEE Transactions on Audio, Speech & Language Processing 14(2): 679-694 (2006)

Wim Wiegerinck, Bart van den Broek, Bert Kappen: Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. UAI 2006

Tommaso Rizzo, Bastian Wemmenhove, Hilbert J. Kappen: On Cavity Approximations for Graphical Models. CoRR abs/cond-mat/0608312 (2006)

Joris M. Mooij, Bert Kappen: Loop corrections for approximate inference. CoRR abs/cs/0612030 (2006)

Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen: Truncating the loop series expansion for Belief Propagation. CoRR abs/cs/0612109 (2006)

Joris M. Mooij, Hilbert J. Kappen: Sufficient Conditions for Convergence of Loopy Belief Propagation. UAI 2005: 396-403

Joris M. Mooij, Hilbert J. Kappen: Sufficient conditions for convergence of the Sum-Product Algorithm. CoRR abs/cs/0504030 (2005)

Joris M. Mooij, Hilbert J. Kappen: Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. NIPS 2004

Ali Taylan Cemgil, Bert Kappen: Monte Carlo Methods for Tempo Tracking and Rhythm Quantization. J. Artif. Intell. Res. (JAIR) 18: 45-81 (2003)

Martijn A. R. Leisink, Hilbert J. Kappen: Bound Propagation. J. Artif. Intell. Res. (JAIR) 19: 139-154 (2003)

Tom Heskes, Kees Albers, Bert Kappen: Approximate Inference and Constrained Optimization. UAI 2003: 313-320

Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen: Associative Memory with Dynamic Synapses. Neural Computation 14(12): 2903-2923 (2002)

Tom Heskes, Bart Bakker, Bert Kappen: Approximate algorithms for neural-Bayesian approaches. Theor. Comput. Sci. 287(1): 219-238 (2002)

Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner: Linkage Analysis: A Bayesian Approach. ICANN 2002: 595-600

Martijn A. R. Leisink, Hilbert J. Kappen: General Lower Bounds based on Computer Generated Higher Order Expansions. UAI 2002: 293-300

Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen: On the role of dynamical synapses in coincidence detection. Neurocomputing 38-40: 285-291 (2001)

Martijn A. R. Leisink, Hilbert J. Kappen: A Tighter Bound for Graphical Models. Neural Computation 13(9): 2149-2171 (2001)

Hilbert J. Kappen, Wim Wiegerinck: Novel iteration schemes for the Cluster Variation Method. NIPS 2001: 415-422

Martijn A. R. Leisink, Bert Kappen: Means, Correlations and Bounds. NIPS 2001: 455-462

Ali Taylan Cemgil, Bert Kappen: Tempo tracking and rhythm quantization by sequential Monte Carlo. NIPS 2001: 1361-1368

Shotaro Akaho, Hilbert J. Kappen: Nonmonotonic Generalization Bias of Gaussian Mixture Models. Neural Computation 12(6): 1411-1427 (2000)

Wim Wiegerinck, Bert Kappen: Approximations of Bayesian Networks through KL Minimisation. New Generation Comput. 18(2): 167-176 (2000)

Martijn A. R. Leisink, Hilbert J. Kappen: Learning in higher order Boltzmann machines using linear response. Neural Networks 13(3): 329-335 (2000)

Hilbert J. Kappen, Wim Wiegerinck: Second Order Approximations for Probability Models. NIPS 2000: 238-244

Martijn A. R. Leisink, Hilbert J. Kappen: A Tighter Bound for Graphical Models. NIPS 2000: 266-272

Wim Wiegerinck, Hilbert J. Kappen, E. W. M. T. ter Braak, W. J. P. P. ter Burg, Marcel J. Nijman, Y. L. O, Jan P. Neijt: Approximate inference for medical diagnosis. Pattern Recognition Letters 20(11-13): 1231-1239 (1999)

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz: Efficient Learning in Boltzmann Machines Using Linear Response Theory. Neural Computation 10(5): 1137-1156 (1998)

Marcel J. Nijman, Hilbert J. Kappen: Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines. Int. J. Neural Syst. 8(3): 301-315 (1997)

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz: Mean field approach to learning in Boltzmann Machine. Pattern Recognition Letters 18(11-13): 1317-1322 (1997)

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz: Accelerated Learning in Boltzmann Machines Using Mean Field Theory. ICANN 1997: 301-306

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz: Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction. NIPS 1997

Marcel J. Nijman, Hilbert J. Kappen: Efficient Learning in Sparsely Connected Boltzmann Machines. ICANN 1996: 41-46

David M. J. Tax, Hilbert J. Kappen: Learning Structure with Many-Take-All Networks. ICANN 1996: 95-100

Hilbert J. Kappen, Pablo Varona: Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. ICANN 1996: 101-106

Hilbert J. Kappen: Deterministic learning rules for boltzmann machines. Neural Networks 8(4): 537-548 (1995)

Hilbert J. Kappen, C. Gielen: Neurocomputing research in The Netherlands. Neurocomputing 2(1): 35-38 (1990)