Hilbert J. Kappen

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 14

Top Topics

Graphical Models

Diffusion Process

Histogram Matching

Top Venues

IEEE Robotics Autom. Lett.

Publications

Onno Huijgen, Luuk Coopmans, Peyman Najafi, Marcello Benedetti, Hilbert J. Kappen
Training quantum Boltzmann machines with the β-variational quantum eigensolver. Mach. Learn. Sci. Technol. 5 (2) (2024)
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez
Adaptive Smoothing for Path Integral Control. J. Mach. Learn. Res. 21 (2020)
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez
Adaptive Smoothing Path Integral Control. CoRR (2020)
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
On the role of synaptic stochasticity in training low-precision neural networks. CoRR (2017)
Hans-Christian Ruiz, Hilbert J. Kappen
Particle Smoothing for Hidden Diffusion Processes: Adaptive Path Integral Smoother. IEEE Trans. Signal Process. 65 (12) (2017)
Satoshi Satoh, Hilbert J. Kappen, Masami Saeki
An Iterative Method for Nonlinear Stochastic Optimal Control Based on Path Integrals. IEEE Trans. Autom. Control. 62 (1) (2017)
Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen
Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. IEEE Robotics Autom. Lett. 2 (2) (2017)
Dominik Thalmeier, Vicenç Gómez, Hilbert J. Kappen
Action selection in growing state spaces: Control of Network Structure Growth. CoRR (2016)
Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen
Efficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. CoRR (2016)
Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen
Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones. ICRA (2016)
Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen, Raoul-Martin Memmesheimer
Learning Universal Computations with Spikes. PLoS Comput. Biol. 12 (6) (2016)
Vicenç Gómez, Mohammad Gheshlaghi Azar, Hilbert J. Kappen
Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input. CCIA (2016)
Vicenç Gómez, Sep Thijssen, Andrew Symington, Stephen Hailes, Hilbert J. Kappen
Real-Time Stochastic Optimal Control for Multi-Agent Quadrotor Systems. ICAPS (2016)
Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen
Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones. CoRR (2016)
Hilbert J. Kappen
Adaptive importance sampling for control and inference. CoRR (2015)
Vicenç Gómez, Sep Thijssen, Hilbert J. Kappen, Stephen Hailes, Andrew Symington
Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Swarms. CoRR (2015)
Hilbert J. Kappen, Vicenç Gómez
The Variational Garrote. Mach. Learn. 96 (3) (2014)
Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann
Policy Search for Path Integral Control. ECML/PKDD (1) (2014)
Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. UAI (2014)
Alberto Llera, Vicenç Gómez, Hilbert J. Kappen
Adaptive Multiclass Classification for Brain Computer Interfaces. Neural Comput. 26 (6) (2014)
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate inference on planar graphs using Loop Calculus and Belief Propagation. CoRR (2014)
Joris Bierkens, Hilbert J. Kappen
Explicit solution of relative entropy weighted control. Syst. Control. Lett. 72 (2014)
Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. CoRR (2014)
Vladimir Y. Chernyak, Michael Chertkov, Joris Bierkens, Hilbert J. Kappen
Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current. CoRR (2013)
Joaquín J. Torres, Hilbert J. Kappen
Emerging phenomena in neural networks with dynamic synapses and their computational implications. Frontiers Comput. Neurosci. 7 (2013)
Mohammad Gheshlaghi Azar, Rémi Munos, Hilbert J. Kappen
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model. Mach. Learn. 91 (3) (2013)
Vicenç Gómez, Hilbert J. Kappen, Nelly Litvak, Andreas Kaltenbrunner
A likelihood-based framework for the analysis of discussion threads. World Wide Web 16 (5-6) (2013)
Martijn A. R. Leisink, Hilbert J. Kappen
General Lower Bounds based on Computer Generated Higher Order Expansions CoRR (2013)
Hilbert J. Kappen, Vicenç Gómez, Manfred Opper
Optimal Control as a Graphical Model Inference Problem. ICAPS (2013)
Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen
Learning Price-Elasticity of Smart Consumers in Power Distribution Systems CoRR (2012)
Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen
Dynamic policy programming. J. Mach. Learn. Res. 13 (2012)
Joris M. Mooij, Hilbert J. Kappen
Sufficient conditions for convergence of Loopy Belief Propagation CoRR (2012)
Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen
Learning price-elasticity of smart consumers in power distribution systems. SmartGridComm (2012)
Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen
Risk Sensitive Path Integral Control CoRR (2012)
Max Welling, Yee Whye Teh, Hilbert J. Kappen
Hybrid Variational/Gibbs Collapsed Inference in Topic Models CoRR (2012)
Wim Wiegerinck, Bart van den Broek, Hilbert J. Kappen
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. CoRR (2012)
Tom Heskes, Kees Albers, Hilbert J. Kappen
Approximate Inference and Constrained Optimization CoRR (2012)
Vicenç Gómez, Hilbert J. Kappen, Nelly Litvak, Andreas Kaltenbrunner
A likelihood-based framework for the analysis of discussion threads CoRR (2012)
Hilbert J. Kappen, Vicenç Gómez, Manfred Opper
Optimal control as a graphical model inference problem. Mach. Learn. 87 (2) (2012)
Alberto Llera, Vicenç Gómez, Hilbert J. Kappen
Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals. Neural Comput. 24 (11) (2012)
Mohammad Gheshlaghi Azar, Rémi Munos, Mohammad Ghavamzadeh, Hilbert J. Kappen
Speedy Q-Learning. NIPS (2011)
Alberto 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) (2011)
Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner
Modeling the structure and evolution of discussion cascades. HT (2011)
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation. J. Mach. Learn. Res. 11 (2010)
Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen
Risk Sensitive Path Integral Control. UAI (2010)
Vicenç Gómez, Hilbert J. Kappen, Andreas Kaltenbrunner
Modeling the structure and evolution of discussion cascades CoRR (2010)
Mohammad Gheshlaghi Azar, Hilbert J. Kappen
Dynamic Policy Programming CoRR (2010)
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate inference on planar graphs using Loop Calculus and Belief Propagation. UAI (2009)
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)
A. L. Arenas, Vicenç Gómez, Hilbert J. Kappen
Sparse matrix factorization for brain computer interfaces. ACII (2009)
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate inference on planar graphs using Loop Calculus and Belief Propagation CoRR (2009)
Joris M. Mooij, Hilbert J. Kappen
Bounds on marginal probability distributions. NIPS (2008)
Vicenç Gómez, Andreas Kaltenbrunner, Vicente López, Hilbert J. Kappen
Self-organization using synaptic plasticity. NIPS (2008)
Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen
Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks. Neural Comput. 19 (10) (2007)
Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen
Truncating the Loop Series Expansion for Belief Propagation. J. Mach. Learn. Res. 8 (2007)
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) (2007)
Joris M. Mooij, Hilbert J. Kappen
Loop Corrections for Approximate Inference on Factor Graphs. J. Mach. Learn. Res. 8 (2007)
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)
Joris M. Mooij, Hilbert J. Kappen
Sufficient Conditions for Convergence of the Sum-Product Algorithm. IEEE Trans. Inf. Theory 53 (12) (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 Comput. 19 (7) (2007)
Ali Taylan Cemgil, Hilbert J. Kappen, David Barber
A generative model for music transcription. IEEE Trans. Speech Audio Process. 14 (2) (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 Comput. 18 (3) (2006)
Tommaso Rizzo, Bastian Wemmenhove, Hilbert J. Kappen
On Cavity Approximations for Graphical Models CoRR (2006)
Cornelis A. Albers, Martijn A. R. Leisink, Hilbert J. Kappen
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees. BMC Bioinform. 7 (S-1) (2006)
Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen
Truncating the loop series expansion for Belief Propagation CoRR (2006)
Joris M. Mooij, Hilbert J. Kappen
Sufficient conditions for convergence of the Sum-Product Algorithm CoRR (2005)
Joris M. Mooij, Hilbert J. Kappen
Sufficient Conditions for Convergence of Loopy Belief Propagation. UAI (2005)
Joris M. Mooij, Hilbert J. Kappen
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. NIPS (2004)
Martijn A. R. Leisink, Hilbert J. Kappen
Bound Propagation. J. Artif. Intell. Res. 19 (2003)
Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner
Linkage Analysis: A Bayesian Approach. ICANN (2002)
Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen
Associative Memory with Dynamic Synapses. Neural Comput. 14 (12) (2002)
Martijn A. R. Leisink, Hilbert J. Kappen
General Lower Bounds based on Computer Generated Higher Order Expansions. UAI (2002)
Martijn A. R. Leisink, Hilbert J. Kappen
A Tighter Bound for Graphical Models. Neural Comput. 13 (9) (2001)
Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen
On the role of dynamical synapses in coincidence detection. Neurocomputing (2001)
Hilbert J. Kappen, Wim Wiegerinck
Novel iteration schemes for the Cluster Variation Method. NIPS (2001)
Shotaro Akaho, Hilbert J. Kappen
Nonmonotonic Generalization Bias of Gaussian Mixture Models. Neural Comput. 12 (6) (2000)
Martijn A. R. Leisink, Hilbert J. Kappen
A Tighter Bound for Graphical Models. NIPS (2000)
Martijn A. R. Leisink, Hilbert J. Kappen
Learning in higher order Boltzmann machines using linear response. Neural Networks 13 (3) (2000)
Hilbert J. Kappen, Wim Wiegerinck
Second Order Approximations for Probability Models. NIPS (2000)
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 Recognit. Lett. 20 (11-13) (1999)
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
A Development Protocol for a Diagnostic DSS. MIE (1999)
Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Efficient Learning in Boltzmann Machines Using Linear Response Theory. Neural Comput. 10 (5) (1998)
Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Mean field approach to learning in Boltzmann Machine. Pattern Recognit. Lett. 18 (11-13) (1997)
Marcel J. Nijman, Hilbert J. Kappen
Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines. Int. J. Neural Syst. 8 (3) (1997)
Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Accelerated Learning in Boltzmann Machines Using Mean Field Theory. ICANN (1997)
Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction. NIPS (1997)
Hilbert J. Kappen, Pablo Varona
Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. ICANN (1996)
David M. J. Tax, Hilbert J. Kappen
Learning Structure with Many-Take-All Networks. ICANN (1996)
Marcel J. Nijman, Hilbert J. Kappen
Efficient Learning in Sparsely Connected Boltzmann Machines. ICANN (1996)
Hilbert J. Kappen
Deterministic learning rules for boltzmann machines. Neural Networks 8 (4) (1995)
Hilbert J. Kappen, C. Gielen
Neurocomputing research in The Netherlands. Neurocomputing 2 (1) (1990)