Hilbert J. Kappen

Orcid: 0000-0002-5728-3676

Affiliations:
  • Radboud University Nijmegen, Netherlands


According to our database1, Hilbert J. Kappen authored at least 106 papers between 1990 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Adaptive Smoothing for Path Integral Control.
J. Mach. Learn. Res., 2020

2019
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.
Sci. Robotics, 2019

Learning effective state-feedback controllers through efficient multilevel importance samplers.
Int. J. Control, 2019

2017
Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother.
IEEE Trans. Signal Process., 2017

An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals.
IEEE Trans. Autom. Control., 2017

Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone.
IEEE Robotics Autom. Lett., 2017

On the role of synaptic stochasticity in training low-precision neural networks.
CoRR, 2017

2016
Learning Universal Computations with Spikes.
PLoS Comput. Biol., 2016

Bonaparte: Bayesian Networks to Give Victims back their Names.
ERCIM News, 2016

Action selection in growing state spaces: Control of Network Structure Growth.
CoRR, 2016

Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input.
Proceedings of the Artificial Intelligence Research and Development, 2016

Real-Time Stochastic Optimal Control for Multi-Agent Quadrotor Systems.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
Adaptive importance sampling for control and inference.
CoRR, 2015

Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Swarms.
CoRR, 2015

2014
Explicit solution of relative entropy weighted control.
Syst. Control. Lett., 2014

Adaptive Multiclass Classification for Brain Computer Interfaces.
Neural Comput., 2014

The Variational Garrote.
Mach. Learn., 2014

Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Policy Search for Path Integral Control.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Bayesian Networks, Introduction and Practical Applications.
Proceedings of the Handbook on Neural Information Processing, 2013

A likelihood-based framework for the analysis of discussion threads.
World Wide Web, 2013

Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model.
Mach. Learn., 2013

Emerging phenomena in neural networks with dynamic synapses and their computational implications.
Frontiers Comput. Neurosci., 2013

Comment: Causal entropic forces.
CoRR, 2013

Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current.
CoRR, 2013

2012
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals.
Neural Comput., 2012

Optimal control as a graphical model inference problem.
Mach. Learn., 2012

Dynamic policy programming.
J. Mach. Learn. Res., 2012

Learning price-elasticity of smart consumers in power distribution systems.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

On the Sample Complexity of Reinforcement Learning with a Generative Model .
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
On the use of interaction error potentials for adaptive brain computer interfaces.
Neural Networks, 2011

Dynamic Policy Programming with Function Approximation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Stochastic optimal control of state constrained systems.
Int. J. Control, 2011

KL-learning: Online solution of Kullback-Leibler control problems
CoRR, 2011

The Binary Garrote
CoRR, 2011

Speedy Q-Learning.
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.
Proceedings of the HT'11, 2011

2010
Bayesian Networks for Expert Systems: Theory and Practical Applications.
Proceedings of the Interactive Collaborative Information Systems, 2010

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation.
J. Mach. Learn. Res., 2010

A Bayesian petrophysical decision support system for estimation of reservoir compositions.
Expert Syst. Appl., 2010

Dynamic Policy Programming
CoRR, 2010

Risk Sensitive Path Integral Control.
Proceedings of the UAI 2010, 2010

EP for Efficient Stochastic Control with Obstacles.
Proceedings of the ECAI 2010, 2010

2009
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Sparse matrix factorization for brain computer interfaces.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems.
J. Artif. Intell. Res., 2008

Hybrid Variational/Gibbs Collapsed Inference in Topic Models.
Proceedings of the UAI 2008, 2008

Bounds on marginal probability distributions.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Self-organization using synaptic plasticity.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Sufficient Conditions for Convergence of the Sum-Product Algorithm.
IEEE Trans. Inf. Theory, 2007

Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks.
Neural Comput., 2007

Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.
Neural Comput., 2007

Loop Corrected Belief Propagation.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Loop Corrections for Approximate Inference on Factor Graphs.
J. Mach. Learn. Res., 2007

Truncating the Loop Series Expansion for Belief Propagation.
J. Mach. Learn. Res., 2007

Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation.
Neurocomputing, 2007

Loop corrections for message passing algorithms in continuous variable models
CoRR, 2007

Optimal on-line scheduling in stochastic multiagent systems in continuous space-time.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Inference in the Promedas Medical Expert System.
Proceedings of the Artificial Intelligence in Medicine, 2007

Optimal Control in Large Stochastic Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006
A generative model for music transcription.
IEEE Trans. Speech Audio Process., 2006

Effects of Fast Presynaptic Noise in Attractor Neural Networks.
Neural Comput., 2006

Loop corrections for approximate inference
CoRR, 2006

On Cavity Approximations for Graphical Models
CoRR, 2006

The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees.
BMC Bioinform., 2006

Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems.
Proceedings of the UAI '06, 2006

2005
Sufficient Conditions for Convergence of Loopy Belief Propagation.
Proceedings of the UAI '05, 2005

2004
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Bound Propagation.
J. Artif. Intell. Res., 2003

Monte Carlo Methods for Tempo Tracking and Rhythm Quantization.
J. Artif. Intell. Res., 2003

Approximate Inference and Constrained Optimization.
Proceedings of the UAI '03, 2003

2002
Approximate algorithms for neural-Bayesian approaches.
Theor. Comput. Sci., 2002

Associative Memory with Dynamic Synapses.
Neural Comput., 2002

General Lower Bounds based on Computer Generated Higher Order Expansions.
Proceedings of the UAI '02, 2002

Integrating Tempo Tracking and Quantization using Particle Filtering.
Proceedings of the 2002 International Computer Music Conference, 2002

Linkage Analysis: A Bayesian Approach.
Proceedings of the Artificial Neural Networks, 2002

2001
A Tighter Bound for Graphical Models.
Neural Comput., 2001

On the role of dynamical synapses in coincidence detection.
Neurocomputing, 2001

Means, Correlations and Bounds.
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.
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.
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.
Proceedings of the 2001 International Computer Music Conference, 2001

2000
Learning in higher order Boltzmann machines using linear response.
Neural Networks, 2000

Approximations of Bayesian Networks through KL Minimisation.
New Gener. Comput., 2000

Nonmonotonic Generalization Bias of Gaussian Mixture Models.
Neural Comput., 2000

Rhythm Quantization for Transcription.
Comput. Music. J., 2000

Second Order Approximations for Probability Models.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

On tempo tracking: Tempogram Representation and Kalman filtering.
Proceedings of the 2000 International Computer Music Conference, 2000

Survival Analysis: A Neural-Bayesian Approach.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Approximate inference for medical diagnosis.
Pattern Recognit. Lett., 1999

A Development Protocol for a Diagnostic DSS.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1998
Efficient Learning in Boltzmann Machines Using Linear Response Theory.
Neural Comput., 1998

1997
Mean field approach to learning in Boltzmann Machine.
Pattern Recognit. Lett., 1997

Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines.
Int. J. Neural Syst., 1997

Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Accelerated Learning in Boltzmann Machines Using Mean Field Theory.
Proceedings of the Artificial Neural Networks, 1997

1996
Learning Structure with Many-Take-All Networks.
Proceedings of the Artificial Neural Networks, 1996

Efficient Learning in Sparsely Connected Boltzmann Machines.
Proceedings of the Artificial Neural Networks, 1996

Dynamic Feature Linking in Stochastic Networks with Short Range Interactions.
Proceedings of the Artificial Neural Networks, 1996

1995
Deterministic learning rules for boltzmann machines.
Neural Networks, 1995

Stochastic Resonance and Multi-modal Firing Patterns in Single-neuron Models.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1993
Error potentials for self-organization.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991
An efficient heuristic for standard-cell placement.
Integr., 1991

1990
Neurocomputing research in The Netherlands.
Neurocomputing, 1990

An efficient placement method for large standard-cell and sea-of-gates designs.
Proceedings of the European Design Automation Conference, 1990


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