Publications

 
Kappen H.J.
Learning quantum models from quantum or classical data.
Journal of Physics A: Mathematical and Theoretical as a Fast Track Communication, vol. 53, pp. 214001, 2020

Kolmus A., Khajetoorians A.A., Kappen H.J.
Atom-by-atom construction of attractors in a tunable finite size spin array.
New Journal of Physics, vol. 22, pp. 023038, 2020

Kiraly B, Knol EJ, Kappen H.J., Khajetoorians A.A.
An atomic boltzmann machine capable of on-chip learning.
arxiv, 2020

Thalmeier D., Kappen H.J., Totaro S, Gómez V.
Adaptive smoothing path integral control.
arxiv, pp. arXiv:2005.06364, 2020

Bergen GLL van, Duenk P, Albers C.A., Bijma P, Calus MPL, Wientjes YJC, Kappen H.J.
Bayesian neural networks with variable selection for prediction of genotypic values.
Genetics, vol. 52, pp. 1-14, 2020

file type image Wiegerinck W.A.J.J. EGU, 2020

Wiersema RC, Kappen H.J.
Implementing perceptron models with qubits.
Physical Review A, vol. 100, pp. 020301-6, 2019

McGuire, K.N., Wagter C de, Tuyls K., Kappen H.J., Croon G. de
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.
Science Robotics, vol. 4, pp. eaaw9710, 2019

Kappen H.J.
Advanced machine learning.
Course paper, pp. 1-4, 2019

Duane G.S., Wiegerinck W.A.J.J., Selten F., Shen M.L, Keenlyside N.
Supermodeling: synchronization of alternative dynamical models of a single objective process .
Advanced in Nonlinear Geosciences, pp. 101-121, 2018

file type image Wiegerinck W.A.J.J., Selten F. Chaos, vol. 27, no. 126901, pp. 1-37, 2017

Duane G.S., Wiegerinck W.A.J.J., Selten F., Shen M.L, Keenlyside N.
Supermodeling: synchronization of alternative dynamical models of a single objective process.
Advanced in Nonlinear Geosciences, pp. 101-121, 2017

file type image Thijssen S.A., Kappen H.J. Physical Review E, vol. 91, no. 032104, pp. 1-6, 2015

file type image Kappen H.J., Gómez V. Machine Learning Journal, vol. 96, no. 3, pp. 269-294, 2014

file type image Llera A., Gómez V., Kappen H.J. Neural Computation, pp. 1-20, 2014

Llera A., Gómez V., Kappen H.J.
Quantitative analysis of task selection for brain–computer interfaces..
Journal of Neural Engineering, vol. 11, no. 5, pp. 056002, 2014

file type image Wiegerinck W.A.J.J., Mirchev M., Burgers W.G., Selten F.M. Consensus and Synchronization in Complex Networks,, pp. 227-255, 2013

file type image Wiegerinck W.A.J.J., Burgers W.G., Selten F.M. Consensus and Synchronization in Complex Networks,, pp. 257 - 275, 2013


file type image Wiegerinck W.A.J.J., Burgers W.G., Kappen H.J. Handbook on Neural Information Processing, vol. 49, pp. 401-431, 2013

file type image Wiegerinck W.A.J.J., Burgers W.G., Selten F.M. EGU European General Assembly Conference Abstract, vol. 15, pp. presentation, 2013

file type image Wiegerinck W.A.J.J., Basnarkov L EGU European General Assembly Conference Abstract, vol. 15, pp. presentation, 2013

file type image Shen Mao-Lin, Keenlyside N., Selten F.M., Duane G.S., Wiegerinck W.A.J.J., Hiemstra P EGU European General Assembly Conference Abstract, vol. 15, pp. presentation, 2013

file type image Llera A., Gómez V., Kappen H.J. TOBI Workshop IV, pp. 117-119, 2013

Llera A., Gómez V., Kappen H.J.
Is task selection a solution for bci illiteracy?.
Journal of Neural Engeneering, 2013

file type image Gómez V., Kappen H.J., Kaltenbrunner A. Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia, vol. 22, pp. 181-190, 2011

Berge L.A., Selten F.M., Wiegerinck W.A.J.J., Duane G.S.
A multi-model ensemble method that combines imperfect models through learning.
Earth System Dynamics, vol. 2, pp. 161-177, 2011

Wiegerinck W.A.J.J., Setkus A., Buda V., Borg-Karlson A.-K, Mozuraitis R.
Bovinose: pheromone-based sensor system for detecting estrus in dairy cows.
The European Future Technologies Conference and Exhibition, vol. FET 11, pp. 340-342, 2011

file type image Wiegerinck W.A.J.J., Selten F.M. NIPS 2011, Advances in Neural Information Processing Systems 24, vol. 24, pp. Workshop, 2011

file type image Selten F.M., Duane G.S., Wiegerinck W.A.J.J., Keenlyside N., Kurths J., Kocarev L. The European Future Technologies Conference and Exhibition 2011, vol. 7, pp. 261-263, 2011

file type image Bakker B. Journal of Machine Learning Research, pp. 83-99, 2003

file type image Bakker B., Kappen H.J. Theoretical Computer Science, vol. 287, no. 1, pp. 219-238, 2002

Heskes T.M.
The use of being stubborn and introspective.
Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic., vol. 2, pp. 725-741, 2000

Heskes T.M.
Empirical bayes for learning to learn.
Int. Conference on Machine Learning, pp. 367-374, 2000

file type image Akaho S., Kappen H.J. Ned tijdschrift voor Natuurkunde, vol. 12, pp. 1411�1427, 2000

Bakker B.
A neural-bayesian approach to survival analysis.
Proceedings International Conference on Artificial Neural Networks 9, vol. 2, pp. 832-837, 1999

file type image Heskes T.M. Proceedings of the International Conference on Machine Learning Learning, pp. 233-241, 1998

file type image Akaho S., Kappen H.J. Neural Computation, 1998

Barber D., Bishop C.M.
Ensemble learning in bayesian neural networks.
Neural Networks and Machine learning, vol. 168, pp. 215-238, 1998

Nijman M.J., Kappen H.J.
Symmetry breaking and training from incomplete data with radial basis boltzmann machines.
International Journal of Neural Systems A, vol. 8, pp. 301-316, 1997

file type image Tax D.M.J., Kappen H.J. Artificial Neural Networks 6, pp. 95-101, 1996

Kappen H.J.
Classification with inquiry.
UNKNOWN, 1996

Nijman M.J., Kappen H.J.
Radial basis boltzmann machines and incomplete data.
UNKNOWN, 1995

Kappen H.J., Nijman M.J., Moorsel T. van
Learning active vision: industrial application processing systems,.
Artificial Neural Networks 5, Session 7, Robotics, pp. 193-202, 1995