Hilbert J. Kappen

According to our database, Hilbert J. Kappen authored at least 107 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training quantum Boltzmann machines with the β-variational quantum eigensolver.

Onno Huijgen, Luuk Coopmans, Peyman Najafi, Marcello Benedetti, Hilbert J. Kappen

Mach. Learn. Sci. Technol., 2024

2020

Adaptive Smoothing for Path Integral Control.

Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez

J. Mach. Learn. Res., 2020

2019

Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.

Kimberly McGuire, Christophe De Wagter, Karl Tuyls, H. J. Kappen, Guido C. H. E. de Croon

Sci. Robotics, 2019

Learning effective state-feedback controllers through efficient multilevel importance samplers.

S. A. Menchón, H. J. Kappen

Int. J. Control, 2019

2017

Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother.

Hans-Christian Ruiz, Hilbert J. Kappen

IEEE Trans. Signal Process., 2017

An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals.

Satoshi Satoh, Hilbert J. Kappen, Masami Saeki

IEEE Trans. Autom. Control., 2017

Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone.

Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen

IEEE Robotics Autom. Lett., 2017

On the role of synaptic stochasticity in training low-precision neural networks.

Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina

CoRR, 2017

2016

Learning Universal Computations with Spikes.

Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen, Raoul-Martin Memmesheimer

PLoS Comput. Biol., 2016

Bonaparte: Bayesian Networks to Give Victims back their Names.

Bert Kappen, Wim Wiegerinck

ERCIM News, 2016

Action selection in growing state spaces: Control of Network Structure Growth.

Dominik Thalmeier, Vicenç Gómez, Hilbert J. Kappen

CoRR, 2016

Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones.

Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input.

Vicenç Gómez, Mohammad Gheshlaghi Azar, Hilbert J. Kappen

Proceedings of the Artificial Intelligence Research and Development, 2016

Real-Time Stochastic Optimal Control for Multi-Agent Quadrotor Systems.

Vicenç Gómez, Sep Thijssen, Andrew Symington, Stephen Hailes, Hilbert J. Kappen

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015

Adaptive importance sampling for control and inference.

Hilbert J. Kappen

CoRR, 2015

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Swarms.

Vicenç Gómez, Sep Thijssen, Hilbert J. Kappen, Stephen Hailes, Andrew Symington

CoRR, 2015

2014

Explicit solution of relative entropy weighted control.

Joris Bierkens, Hilbert J. Kappen

Syst. Control. Lett., 2014

Adaptive Multiclass Classification for Brain Computer Interfaces.

Alberto Llera, Vicenç Gómez, Hilbert J. Kappen

Neural Comput., 2014

The Variational Garrote.

Hilbert J. Kappen, Vicenç Gómez

Mach. Learn., 2014

Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models.

Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Policy Search for Path Integral Control.

Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Bayesian Networks, Introduction and Practical Applications.

Wim Wiegerinck, Willem Burgers, Bert Kappen

Proceedings of the Handbook on Neural Information Processing, 2013

A likelihood-based framework for the analysis of discussion threads.

Vicenç Gómez, Hilbert J. Kappen, Nelly Litvak, Andreas Kaltenbrunner

World Wide Web, 2013

Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model.

Mohammad Gheshlaghi Azar, Rémi Munos, Hilbert J. Kappen

Mach. Learn., 2013

Emerging phenomena in neural networks with dynamic synapses and their computational implications.

Joaquín J. Torres, Hilbert J. Kappen

Frontiers Comput. Neurosci., 2013

Comment: Causal entropic forces.

H. J. Kappen

CoRR, 2013

Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current.

Vladimir Y. Chernyak, Michael Chertkov, Joris Bierkens, Hilbert J. Kappen

CoRR, 2013

2012

Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals.

Alberto Llera, Vicenç Gómez, Hilbert J. Kappen

Neural Comput., 2012

Optimal control as a graphical model inference problem.

Hilbert J. Kappen, Vicenç Gómez, Manfred Opper

Mach. Learn., 2012

Dynamic policy programming.

Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen

J. Mach. Learn. Res., 2012

Learning price-elasticity of smart consumers in power distribution systems.

Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

On the Sample Complexity of Reinforcement Learning with a Generative Model .

Mohammad Gheshlaghi Azar, Rémi Munos, Bert Kappen

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

On the use of interaction error potentials for adaptive brain computer interfaces.

Alberto Llera, Marcel A. J. van Gerven, Vicenç Gómez, Ole Jensen, Hilbert J. Kappen

Neural Networks, 2011

Dynamic Policy Programming with Function Approximation.

Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Stochastic optimal control of state constrained systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

Int. J. Control, 2011

KL-learning: Online solution of Kullback-Leibler control problems

Joris Bierkens, Bert Kappen

CoRR, 2011

The Binary Garrote

H. J. Kappen

CoRR, 2011

Speedy Q-Learning.

Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Modeling the structure and evolution of discussion cascades.

Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner

Proceedings of the HT'11, 2011

2010

Bayesian Networks for Expert Systems: Theory and Practical Applications.

Wim Wiegerinck, Bert Kappen, Willem Burgers

Proceedings of the Interactive Collaborative Information Systems, 2010

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation.

Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov

J. Mach. Learn. Res., 2010

A Bayesian petrophysical decision support system for estimation of reservoir compositions.

Willem Burgers, Wim Wiegerinck, Bert Kappen, Mirano Spalburg

Expert Syst. Appl., 2010

Dynamic Policy Programming

Mohammad Gheshlaghi Azar, Hilbert J. Kappen

CoRR, 2010

Risk Sensitive Path Integral Control.

Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen

Proceedings of the UAI 2010, 2010

EP for Efficient Stochastic Control with Obstacles.

Thomas Mensink, Jakob Verbeek, Bert Kappen

Proceedings of the ECAI 2010, 2010

2009

Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise.

Jorge F. Mejías, Joaquín J. Torres, Samuel Johnson, Hilbert J. Kappen

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Sparse matrix factorization for brain computer interfaces.

A. L. Arenas, Vicenç Gómez, Hilbert J. Kappen

Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008

Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

J. Artif. Intell. Res., 2008

Hybrid Variational/Gibbs Collapsed Inference in Topic Models.

Max Welling, Yee Whye Teh, Bert Kappen

Proceedings of the UAI 2008, 2008

Bounds on marginal probability distributions.

Joris M. Mooij, Hilbert J. Kappen

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Self-organization using synaptic plasticity.

Vicenç Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Sufficient Conditions for Convergence of the Sum-Product Algorithm.

Joris M. Mooij, Hilbert J. Kappen

IEEE Trans. Inf. Theory, 2007

Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks.

Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen

Neural Comput., 2007

Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.

Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen

Neural Comput., 2007

Loop Corrected Belief Propagation.

Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Loop Corrections for Approximate Inference on Factor Graphs.

Joris M. Mooij, Hilbert J. Kappen

J. Mach. Learn. Res., 2007

Truncating the Loop Series Expansion for Belief Propagation.

Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen

J. Mach. Learn. Res., 2007

Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation.

Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen

Neurocomputing, 2007

Loop corrections for message passing algorithms in continuous variable models

Bastian Wemmenhove, Bert Kappen

CoRR, 2007

Optimal on-line scheduling in stochastic multiagent systems in continuous space-time.

Wim Wiegerinck, Bart van den Broek, Bert Kappen

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Inference in the Promedas Medical Expert System.

Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt

Proceedings of the Artificial Intelligence in Medicine, 2007

Optimal Control in Large Stochastic Multi-agent Systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006

A generative model for music transcription.

Ali Taylan Cemgil, Hilbert J. Kappen, David Barber

IEEE Trans. Speech Audio Process., 2006

Effects of Fast Presynaptic Noise in Attractor Neural Networks.

Jesús M. Cortés, Joaquín J. Torres, Joaquín Marro, Pedro L. Garrido, Hilbert J. Kappen

Neural Comput., 2006

Loop corrections for approximate inference

Joris M. Mooij, Bert Kappen

CoRR, 2006

On Cavity Approximations for Graphical Models

Tommaso Rizzo, Bastian Wemmenhove, Hilbert J. Kappen

CoRR, 2006

The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees.

Cornelis A. Albers, Martijn A. R. Leisink, Hilbert J. Kappen

BMC Bioinform., 2006

Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems.

Wim Wiegerinck, Bart van den Broek, Bert Kappen

Proceedings of the UAI '06, 2006

2005

Sufficient Conditions for Convergence of Loopy Belief Propagation.

Joris M. Mooij, Hilbert J. Kappen

Proceedings of the UAI '05, 2005

2004

Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks.

Joris M. Mooij, Hilbert J. Kappen

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Bound Propagation.

Martijn A. R. Leisink, Hilbert J. Kappen

J. Artif. Intell. Res., 2003

Monte Carlo Methods for Tempo Tracking and Rhythm Quantization.

Ali Taylan Cemgil, Bert Kappen

J. Artif. Intell. Res., 2003

Approximate Inference and Constrained Optimization.

Tom Heskes, Kees Albers, Bert Kappen

Proceedings of the UAI '03, 2003

2002

Approximate algorithms for neural-Bayesian approaches.

Tom Heskes, Bart Bakker, Bert Kappen

Theor. Comput. Sci., 2002

Associative Memory with Dynamic Synapses.

Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen

Neural Comput., 2002

General Lower Bounds based on Computer Generated Higher Order Expansions.

Martijn A. R. Leisink, Hilbert J. Kappen

Proceedings of the UAI '02, 2002

Integrating Tempo Tracking and Quantization using Particle Filtering.

Ali Taylan Cemgil, Bert Kappen

Proceedings of the 2002 International Computer Music Conference, 2002

Linkage Analysis: A Bayesian Approach.

Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner

Proceedings of the Artificial Neural Networks, 2002

2001

A Tighter Bound for Graphical Models.

Martijn A. R. Leisink, Hilbert J. Kappen

Neural Comput., 2001

On the role of dynamical synapses in coincidence detection.

Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen

Neurocomputing, 2001

Means, Correlations and Bounds.

Martijn A. R. Leisink, Bert Kappen

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Novel iteration schemes for the Cluster Variation Method.

Hilbert J. Kappen, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Tempo tracking and rhythm quantization by sequential Monte Carlo.

Ali Taylan Cemgil, Bert Kappen

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Bayesian Real-time Adaptation for Interactive Performance Systems.

Ali Taylan Cemgil, Bert Kappen

Proceedings of the 2001 International Computer Music Conference, 2001

2000

Learning in higher order Boltzmann machines using linear response.

Martijn A. R. Leisink, Hilbert J. Kappen

Neural Networks, 2000

Approximations of Bayesian Networks through KL Minimisation.

Wim Wiegerinck, Bert Kappen

New Gener. Comput., 2000

Nonmonotonic Generalization Bias of Gaussian Mixture Models.

Shotaro Akaho, Hilbert J. Kappen

Neural Comput., 2000

Rhythm Quantization for Transcription.

Ali Taylan Cemgil, Peter Desain, Bert Kappen

Comput. Music. J., 2000

Second Order Approximations for Probability Models.

Hilbert J. Kappen, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

On tempo tracking: Tempogram Representation and Kalman filtering.

Ali Taylan Cemgil, Bert Kappen, Peter Desain, Henkjan Honing

Proceedings of the 2000 International Computer Music Conference, 2000

Survival Analysis: A Neural-Bayesian Approach.

Bart J. Bakker, Bert Kappen, Tom Heskes

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999

Approximate inference for medical diagnosis.

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

Pattern Recognit. Lett., 1999

A Development Protocol for a Diagnostic DSS.

O. Ying-Lie, W. J. P. P. ter Burg, E. W. M. T. ter Braak, Jan P. Neijt, W. A. J. J. Wiegerinck, Marcel J. Nijman, Hilbert J. Kappen

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1998

Efficient Learning in Boltzmann Machines Using Linear Response Theory.

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Neural Comput., 1998

1997

Mean field approach to learning in Boltzmann Machine.

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Pattern Recognit. Lett., 1997

Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines.

Marcel J. Nijman, Hilbert J. Kappen

Int. J. Neural Syst., 1997

Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Accelerated Learning in Boltzmann Machines Using Mean Field Theory.

Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Proceedings of the Artificial Neural Networks, 1997

1996

Learning Structure with Many-Take-All Networks.

David M. J. Tax, Hilbert J. Kappen

Proceedings of the Artificial Neural Networks, 1996

Efficient Learning in Sparsely Connected Boltzmann Machines.

Marcel J. Nijman, Hilbert J. Kappen

Proceedings of the Artificial Neural Networks, 1996

Dynamic Feature Linking in Stochastic Networks with Short Range Interactions.

Hilbert J. Kappen, Pablo Varona

Proceedings of the Artificial Neural Networks, 1996

1995

Deterministic learning rules for boltzmann machines.

Hilbert J. Kappen

Neural Networks, 1995

Stochastic Resonance and Multi-modal Firing Patterns in Single-neuron Models.

Danny Linders, Bert Kappen

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1993

Error potentials for self-organization.

Tom Heskes, Bert Kappen

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991

An efficient heuristic for standard-cell placement.

H. J. Kappen

Integr., 1991

1990

Neurocomputing research in The Netherlands.

Hilbert J. Kappen, C. Gielen

Neurocomputing, 1990

An efficient placement method for large standard-cell and sea-of-gates designs.

H. J. Kappen, F. M. J. de Bont

Proceedings of the European Design Automation Conference, 1990