Gerben Beintema

According to our database, Gerben Beintema authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Baseline Results for Selected Nonlinear System Identification Benchmarks.

Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers

CoRR, 2024

State Derivative Normalization for Continuous-Time Deep Neural Networks.

Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski

CoRR, 2024

Meta-state-space learning: An identification approach for stochastic dynamical systems.

Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth

Autom., 2024

2023

Deep subspace encoders for nonlinear system identification.

Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth

Autom., October, 2023

Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach.

Rishi Ramkannan, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens

CoRR, 2023

Continuous-time identification of dynamic state-space models by deep subspace encoding.

Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Computationally Efficient Predictive Control Based on ANN State-Space Models.

Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Deep subspace encoders for continuous-time state-space identification.

Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth

CoRR, 2022

Deep-Learning-Based Identification of LPV Models for Nonlinear Systems.

Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

NARX Identification using Derivative-Based Regularized Neural Networks.

L. H. Peeters, Gerben Izaak Beintema, M. Forgione, Maarten Schoukens

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Identification of the nonlinear steering dynamics of an autonomous vehicle.

Gábor Rödönyi, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Daniel Pup, Ádám Kisari, Zs. Vígh, Péter Korös, Alexandros Soumelidis, József Bokor

CoRR, 2021

Nonlinear state-space identification using deep encoder networks.

Gerben Beintema, Roland Tóth, Maarten Schoukens

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Deep Identification of Nonlinear Systems in Koopman Form.

Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Non-linear State-space Model Identification from Video Data using Deep Encoders.

Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens

CoRR, 2020

Controlling Rayleigh-Bénard convection via Reinforcement Learning.

Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi

CoRR, 2020