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• Suykens

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Deep|NLq|_{q}|multilevel|neural

92-16

Suykens J.A.K., De Moor B., ``Stabilizing neural controllers with application to control of an inverted pendulum'', Technical Report 92-16, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180837.

92-39

Suykens J.A.K., De Moor B., ``Nonlinear system identification using multilayer neural networks: some ideas for initial weights, number of hidden neurons and error criteria'', in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 49-52.
Lirias number: 180767.

92-40

Suykens J.A.K., De Moor B., Vandewalle J., ``Nonlinear system identification using neural networks: from linear to nonlinear neural state space models for MIMO systems, applicable to robust controller design'', Technical Report 92-40, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180767.

92-41

Suykens J.A.K., Van Impe J., De Moor B., Vandewalle J., ``Neural optimal control of fed-batch fermentation processes'', Technical Report 92-41, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1992.
Lirias number: 180767.

93-03

Suykens J.A.K., De Moor B., Vandewalle J., ``Static and dynamic stabilizing neural controllers applicable to transition between equilibrium points'', Neural Networks, vol. 7, no. 5, 1994, pp. 819-831.
Lirias number: 218674.

93-23

Thierens D., Suykens J.A.K., Vandewalle J., De Moor B., ``Genetic weight optimization of a feedforward neural network controller'', in Proc. of the International Conference on Artificial Neural Networks and Genetic Algorithms, Innsbruck, Austria, Apr. 1993, 6 p.
Lirias number: 180492.

93-43

Suykens J.A.K., De Moor B., Vandewalle J., ``Optimal feedforward and recurrent neural net controllers, constrained by linear controller design'', Technical Report 93-43, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1993.
Lirias number: 71964.

93-45

Suykens J.A.K., De Moor B., Vandewalle J., ``Stabilizing neural controllers: a case study for swinging up a double inverted pendulum'', in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 411-414.
Lirias number: 180455.

93-46

Suykens J.A.K., De Moor B., Vandewalle J., ``Neural network models as linear systems with bounded uncertainty, applicable to robust controller design'', in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 419-422.
Lirias number: 180453.

94-07

Suykens J.A.K., De Moor B., Vandewalle J., ``Nonlinear system identification using neural state space models, applicable to robust control design'', International Journal of Control, vol. 62, no. 1, 1995, pp. 129-152.
Lirias number: 218676.

94-58

Suykens J.A.K., De Moor B., Vandewalle J., ``Neural state space model framework for identification and control with global asymptotic stability criteria'', Technical Report 94-58, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180050.

94-62

Suykens J.A.K., De Moor B., Vandewalle J., ``Stability criteria for neural control systems'', in Proc. of the 3rd European Control Conference (ECC'95), Roma, Italy, Sep. 1995, pp. 2766-2771.
Lirias number: 180043.

94-63

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory and its extension to mu theory'', Technical Report 94-63, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180043.

94-71

Suykens J.A.K., Vandewalle J., ``Generalized cellular neural networks represented in the NL_q framework'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'95), Seattle, Washington, 1995, pp. 645-648.
Lirias number: 180030.

94-74

Suykens J.A.K., De Moor B., ``Artificial neural networks for modeling and control of nonlinear systems'', Technical Report 94-74, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1994.
Lirias number: 180026.

94-77

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory: unifications in the theory of neural networks, systems and control'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'95), Brussels, Belgium, Apr. 1995, pp. 271-276.
Lirias number: 180023.

94-83

Suykens J.A.K., De Moor B., Vandewalle J., ``NL_q theory: a neural control framework with global asymptotic stability criteria'', Neural Networks, vol. 10, no. 4, Jun. 1997, pp. 615-637.
Lirias number: 218695.

95-02

Suykens J.A.K., Vandewalle J., ``Discrete time interconnected cellular neural networks within NL_q theory'', International Journal of Circuit Theory and Applications, vol. 24, no. 1, Jan.-Feb. 1996, pp. 25-36.
Lirias number: 218687.

95-14

Suykens J.A.K., Vandewalle J., ``Learning a simple recurrent neural state space model to behave like Chua's double scroll'', IEEE Transactions on Circuits and Systems-I, vol. 42, no. 8, Aug. 1995, pp. 499-502.
Lirias number: 218678.

95-15

Suykens J.A.K., Vandewalle J., ``NL_q theory: a unifying framework for analysis, design and applications of complex nonlinear systems'', in Proc. of the International Workshop on Non-Linear Dynamics of Electronic Systems (NDES'95) (Invited talk), Dublin, Ireland, Jul. 1995, pp. 121-130.
Lirias number: 179930.

95-19

Suykens J.A.K., Vandewalle J., ``Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modeling and control'', in Proc. of the IEEE International Conference on Neural Networks (ICNN'95), Perth, Australia, Nov.-Dec. 1995.
Lirias number: 179916.

95-23

Suykens J.A.K., Vandewalle J., ``On the identification of a chaotic system by means of recurrent neural state space models'', in Proc. of the IEEE International Conference on Neural Networks (ICNN'95), Perth, Australia, Nov.-Dec. 1995.
Lirias number: 179909.

95-29

Suykens J.A.K., Artificial Neural Networks for Modeling and Control of Nonlinear Systems, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), May 1995, 249 p.
Lirias number: 179889.

95-33

Suykens J.A.K., Vandewalle J., ``Control of a recurrent neural network emulator for the double scroll'', IEEE Transactions on Circuits and Systems-I, vol. 43, no. 6, Jun. 1996, pp. 511-514.
Lirias number: 218688.

95-40

Suykens J.A.K., Vandewalle J., De Moor B., ``Mastering chaos and different types of nonlinear behaviour, represented by artificial neural networks'', Technical Report 95-40, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1995.
Lirias number: 73958.

95-53

Suykens J.A.K., Vandewalle J., De Moor B., Artificial Neural Networks for Modeling and Control of Non-Linear Systems, Kluwer Academic Publishers, 1995, 235 p.
Lirias number: 179860.

96-06

Suykens J.A.K., De Moor B., Vandewalle J., ``Links between NL_q neural control theory and mu robust control theory'', in Proc. of the IEEE International Conference on Decision and Control (CDC'96), Kobe, Japan, Dec. 1996.
Lirias number: 179669.

96-14

Vandenbussche J., Lemmerling P., Suykens J.A.K., Gielen G., ``High-level power/area estimation and behavorial modeling of analog circuits using neural networks'', Technical Report 96-14, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1996.
Lirias number: 72955.

96-15

Suykens J.A.K., Bersini H., ``Neural control theory: an overview'', Journal A, vol. 37, no. 3, 1996, pp. 4-10.
Lirias number: 179658.

96-31

Suykens J.A.K., Vandewalle J., De Moor B., ``Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity'', IEEE Transactions on Automatic Control, vol. 44, no. 4, Apr. 1999, pp. 770-774.
Lirias number: 269033.

96-39

Suykens J.A.K., Vandewalle J., ``A type of dissipativity allowing multiple equilibria in recurrent neural networks of Lur'e form'', Technical Report 96-39, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1996.
Lirias number: 179621.

96-40

Suykens J.A.K., Lemmerling P., Favoreel W., De Moor B., Crepel M., Briol P., ``Modeling the Belgian gas consumption using neural networks'', Neural Processing Letters, Vol. 4, no. 3, Dec. 1996, pp. 157-166.
Lirias number: 71737.

96-41

Suykens J.A.K., Vandewalle J., ``Absolute stability and dissipativity of continuous time multilayer recurrent neural networks'', in Proc. of the 1997 IEEE International Symposium on Circuits and Systems (ISCAS'97), Hong Kong, Jun. 1997, pp. 517-520.
Lirias number: 179615.

96-44

Suykens J.A.K., Vandewalle J., De Moor B., ``NL_q theory: checking and imposing stability of recurrent neural networks for nonlinear modeling'', IEEE Transactions on Signal Processing, vol. 45, no. 11, Nov. 1997, pp. 2682-2691.
Lirias number: 218696.

96-48

Suykens J.A.K., Vandewalle J., De Moor B., ``Nonlinear H$_{\infty}$ control for continuous-time recurrent neural networks'', in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.
Lirias number: 179605.

96-49

Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., ``NL_q neural control theory: case study for a ball and beam system'', in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.
Lirias number: 179603.

96-81

Suykens J.A.K., De Moor B., Vandewalle J., ``Robust NLq neural control theory'', in Proc. of the International Conference on Neural Networks (ICCN'97), Houston, Texas USA, Jun. 1997.
Lirias number: 179551.

96-91

Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., ``Application of NL_q neural control theory to a ball and beam system'', European Journal of control, vol. 4, no. 3, Sep. 1998, pp. 148-157.
Lirias number: 179540.

97-77

Suykens J.A.K., De Moor B.L.R., Vandewalle J., ``Robust local stability of multilayer recurrent neural networks'', IEEE Transactions on Neural Networks, vol. 11, no. 1, Jan. 2000, pp. 222-229.
Lirias number: 269548.

97-95

Suykens J.A.K., Vandewalle J., ``Improved generalization ability of neurocontrollers by imposing NLq stability constraints'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'98), Brugge, Belgium, Apr. 1998, pp. 99-104.
Lirias number: 179310.

98-07

Suykens J.A.K., Vandewalle J., ``Neural Network for Nonlinear Modeling and Control: an Introduction'', Technical Report 98-07, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179289.

98-79

Van Gestel T., Suykens J.A.K., De Lathauwer L., De Moor B., Depreter A., Crepel M., ``An Artificial Neural Network based Nonintrusive Load Monitor'', Technical Report 98-79, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 1998.
Lirias number: 179148.

98-116

Suykens J.A.K., Vandewalle J., ``Continuous time NLq Theory : absolute stability criteria'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Washington DC, USA, Jul. 1999, pp. CD-rom.
Lirias number: 179132.

99-15

Van Gorp J., Suykens J.A.K., ``Representation of SISO Fuzzy logic control systems within NLq theory'', in Proc. of Smart Engineering System Design (ANNIE'99), St. Louis, Missouri USA, Nov. 1999, pp. 603-609.
Lirias number: 179106.

99-93

Duhoux M., Suykens J.A.K., Mignon J., Vandewalle J., De Moor B., ``Improved long-term temperature prediction for a blast furnace using neural networks'', in Proc. of the ICSC Symposia on Engineering of Intelligent Systems (EIS2000), Paisley, UK, Jun. 2000, pp. 40-48.
Lirias number: 178955.

99-100

Suykens J.A.K., Vandewalle J., ``The K.U.Leuven competition data : a challenge for advanced neural network techniques'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2000), Bruges, Belgium, 2000, pp. 299-304.
Lirias number: 178950.

00-55

Govoreaunu B., Schoenmaker W., Suykens J.A.K., ``On the use of Bayes' Theorem and Regularization Theory in Neural Networks Training. Case study : Application in TCAD'', Technical Report 00-55, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2000.
Lirias number: 176019.

00-56

Govoreanu B., Suykens J.A.K., Schoenmaker W., Vandewalle J., ``On the use of Bayesian Learning Neural Networks for TCAD Empirical Modeling'', Technical Report 00-56, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2000.
Lirias number: 176019.

01-05

Duhoux M., Suykens J.A.K., De Moor B., Vandewalle J., ``Improved long-term temperature prediction by chaining of neural networks'', International Journal of Neural Systems, vol. 11, no. 1, Jan. 2001, 10 p.
Lirias number: 178687.

02-230

Govoreanu B., Suykens J.A.K., Schoenmaker W., Dima G., Vandewalle J., Profirescu M., ``On the use of Bayesian Learning Neural Networks for TCAD Empirical modeling'', Romanian Journal of Information Science and Technology, vol. 5, no. 4, 2002, pp. 329-338.
Lirias number: 181710.

05-53

Yalcin M.E., Suykens J.A.K., Vandewalle J.P.L., Cellular Neural Networks, Multi-Scroll Chaos and Synchronization, vol. 50 of World Scientific Series on Nonlinear Science, Series A, World Scientific Pub. Co (Singapore, ISBN 981-256-161-7), 2005, 248 p.
Lirias number: 181698.

05-149

Xavier de Souza S., Suykens J.A.K., Vandewalle J., ``Learning of Spatiotemporal Behavior in Cellular Neural Networks'', International Journal of Circuit Theory and Applications, Special Issue on CNN Technology (Part 1), vol. 34, no. 1, Jan. 2006, pp. 127-140.
Lirias number: 73236.

08-207

Komarov M.A., Osipov G.V., Suykens J.A.K., ``Sequentially activated clusters in neural networks'', Europhysics Letters, vol. 86, no. 6, Jun. 2009, pp. 60006-.
Lirias number: 242628.

08-213

Komarov M.A., Osipov G.V., Suykens J.A.K., Rabinovich M.I., ``Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability'', Chaos, Focus Issue: Nonlinear dynamics in cognitive and neural systems, vol. 19, no. 1, Mar. 2009, pp. 015107-.
Lirias number: 224059.

09-131

Komarov M.A., Osipov G.V., Suykens J.A.K., Rabinovich M.I., ``Emergence of slow rhythms in neural microcircuit: bifurcations and stability'', in Proc. of the 17th International Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2009), Rapperswil, Switzerland, Jun. 2009, pp. 168-171.
Lirias number: 239329.

12-42

Heremans S., Suykens J.A.K., Van Orshoven J., ``Output-normalized neural networks for land cover classification at the subpixel level from medium resolution NDVI time series'', Technical Report 12-42, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012.
Lirias number: x.

14-42

Mall R., Langone R., Suykens J.A.K., ``Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks'', PLOS One, e99966, vol. 9, no. 6, Jun. 2014, pp. 1-18.
Lirias number: 454147.

16-50

Suykens J.A.K., ``Deep Restricted Kernel Machines using Conjugate Feature Duality'', Neural Computation, vol. 29, no. 8, Aug. 2017, pp. 2123-2163.
Lirias number: 577198.

17-12

Mehrkanoon S., Zell A., Suykens J.A.K., ``Scalable Hybrid Deep Neural Kernel Networks'', in Proc. of the 25th European Symposium on Artificial Neural Networks (ESANN) 2017, Special Session: Deep and kernel methods, Bruges, Belgium, Apr. 2017, pp. 17-22.
Lirias number: 570498.

17-148

Singaravel S., Geyer P., Suykens J.A.K., ``Deep Neural Network Architectures for Component-Based Machine Learning Model in Building Energy Predictions'', in Proc. of the European Group for Intelligent Computing in Engineering (EG-ICE), Nottingham, UK, Jul. 2017, pp. 260-268.
Lirias number: 588388.

18-75

Karevan Z., Houthuys L., Suykens J. A. K., ``Weighted Multi-view Deep Neural Networks for Weather Forecasting'', in Proc. of the International Conference on Artificial Neural Networks 2018 (ICANN 2018), Rhodes, Greece, Oct. 2018, pp. 489-499.
Lirias number: 2337572.

18-106

Mehrkanoon S., Suykens J.A.K., ``Deep hybrid neural-kernel networks using random Fourier features'', Neurocomputing, vol. 298, Jul. 2018, pp. 46-54.
Lirias number: 1637959.

18-107

Singaravel S., Suykens J.A.K., Geyer P., ``Deep-learning neural-network architectures and methods: using component-based models in building-design energy prediction'', Advanced Engineering Informatics, vol. 38, Oct. 2018, pp. 81-90.
Lirias number: 1693175.

18-158

Mehrkanoon S., Blaschko M.B., Suykens J.A.K., ``Shallow and Deep Models for Domain Adaptation problems'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), Brugge, Belgium, Apr. 2018, pp. 291-299.
Lirias number: 2123610.

19-170

Singaravel S., Suykens J.A.K., Geyer P., ``Deep convolutional learning for general early design stage prediction models'', Advanced Engineering Informatics, vol. 42, Oct. 2019, pp. 100982-.
Lirias number: 2916359.

20-11

Tao Q., Li Z., Xu J., Wang S., Suykens J.A.K., ``An interpretable deep piecewise linear network and its application to weather forecasting'', Technical Report 20-11, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2020.
Lirias number: x.

20-69

Xu J., Tao Q., Li Z., Xi X., Suykens J.A.K., Wang S., ``Efficient hinging hyperplanes neural network and its application in nonlinear system identification'', Automatica, vol. 116, Jun. 2020, 108906 (art.nb) p.
Lirias number: 3029706.

20-151

Tonin F., Patrinos P., Suykens J. A.K., ``Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints'', Neural Networks, vol. 142, Oct. 2021, pp. 661-679.
Lirias number: 3515464.

21-30

Singaravel S., Suykens J.A.K., Janssen H., Geyer P., ``Explainable deep convolutional learning for intuitive model development by non machine learning domain experts'', Design Science, vol. 6, no. E23, 2020, pp. .
Lirias number: 3217812.

21-63

Theodorakos K., Agudelo M., Schreurs J., Suykens J.A.K., De Moor B., ``Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting'', IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, Aug. 2023, pp. 878-892.
Lirias number: 3440691.

21-86

Tao Q., Xu J., Li Z., Xie N., Wang S., Li X., Suykens J., ``Toward Deep Adaptive Hinging Hyperplanes'', IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, Nov. 2022, pp. 6373-6387.
Lirias number: 3460879.

21-130

Xin M., Mei X., Suykens J.A.K., ``A. novel neural grey system model with Bayesian regularization and its applications'', Neurocomputing, vol. 456, 2021, pp. 61-75.
Lirias number: 3541899.

21-154

Evens B., Latafat P., Themelis A., Suykens J., Patrinos P., ``Neural Network Training as an Optimal Control Problem: An Augmented Lagrangian Approach'', in Proc. of the 2021 60th IEEE Conferene on Decision and Control (CDC), Austin, USA, Dec. 2021, pp. 5136-5143.
Lirias number: 3635729.

22-01

Tao Q., Li Z., Xu J., Lin S., De Schutter B., Suykens J.A.K., ``Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network'', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, Sep. 2022, pp. 15616-15628.
Lirias number: 3664049.

22-32

De Cooman B., Suykens J., Ortseifen A., ``Enforcing hard state-dependent action bounds on deep reinforcement learning policies'', in The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science (LOD 2022), Siena, Italy, Sep. 2022, pp. 193-218.
Lirias number: 4085383.

22-65

Tao Q., Li L., Huang X., Xi X., Wang S., Suykens J., ``Piecewise Linear Neural Networks and Deep Learning'', Nature Reviews Methods Primers, vol. 2, no. 1, Jun. 2022, 43 p.
Lirias number: 3762274.

22-114

Theodorakos K., Agudelo M., Schreurs J., Suykens J.A.K., De Moor B., ``Ozone forecasting across Belgium with co-evolutionary Neural Architecture Search'', Proc. of the BNAIC/BeNeLearn 2022 (BNAIC/BeNeLearn 2022), Mechelen, Belgium, Nov. 2022.
Lirias number: 3955813.

23-33

Tonin F., Tao Q., Patrinos P., Suykens J.A.K., ``Deep Kernel Principal Component Analysis for Multi-level Feature Learning'', Neural Networks, vol. 170, Feb. 2024, pp. 578-595.
Lirias number: 4123326.

23-91

Tonin F., Patrinos P., Suykens J.A.K., ``Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers'', in Proc. of the ECML PKDD 2023 - Workshop on Simplification, Compression, Efficiency and Frugality for Artificial intelligence, Torino, Italy, Sep. 2023, pp. 5.
Lirias number: 4114023.

23-128

Shi Z., Fan J., Song L., Zhou D.-X., Suykens J.A.K., ``Nonlinear functional regression by functional deep neural network with kernel embedding'', Technical Report 23-128, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2023.
Lirias number: x.

24-13

Shi Z., Liu F., Cao Y., Suykens J.A.K., ``Can overfitted deep neural networks in adversarial training generalize? - An approximation viewpoint'', Technical Report 24-13, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2024.
Lirias number: x.