Gerben Izaak Beintema

22 papers A* 1Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Port-Hamiltonian neural networks with output error noise models. Autom. Sarvin Moradi, Gerben Izaak Beintema, Nick O. Jaensson, Roland Tóth, Maarten Schoukens
2025	J	`jnl`	Learning Koopman Models From Data Under General Noise Conditions. CoRR Lucian-Cristian Iacob, Máté Szécsi, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2025	J	`jnl`	Port-Hamiltonian Neural Networks with Output Error Noise Models. CoRR Sarvin Moradi, Gerben Izaak Beintema, Nick O. Jaensson, Roland Tóth, Maarten Schoukens
2024	J	`jnl`	Baseline Results for Selected Nonlinear System Identification Benchmarks. CoRR Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers
2024	J	`jnl`	Meta-state-space learning: An identification approach for stochastic dynamical systems. Autom. Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2024	J	`jnl`	State Derivative Normalization for Continuous-Time Deep Neural Networks. CoRR Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski
2023	—	`conf`	Computationally Efficient Predictive Control Based on ANN State-Space Models. CDC Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
2023	J	`jnl`	Computationally efficient predictive control based on ANN state-space models. CoRR Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
2023	A*	`conf`	Continuous-time identification of dynamic state-space models by deep subspace encoding. ICLR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2023	J	`jnl`	Deep subspace encoders for nonlinear system identification. Autom. Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2023	J	`jnl`	Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach. CoRR Rishi Ramkannan, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
2023	J	`jnl`	Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Deep Subspace Encoders for Nonlinear System Identification. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Deep subspace encoders for continuous-time state-space identification. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2022	—	`conf`	Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CDC Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CoRR Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
2022	—	`conf`	NARX Identification using Derivative-Based Regularized Neural Networks. CDC L. H. Peeters, Gerben Izaak Beintema, Marco Forgione, Maarten Schoukens
2022	J	`jnl`	NARX Identification using Derivative-Based Regularized Neural Networks. CoRR L. H. Peeters, Gerben Izaak Beintema, Marco Forgione, Maarten Schoukens
2021	—	`conf`	Deep Identification of Nonlinear Systems in Koopman Form. CDC Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2021	J	`jnl`	Deep Identification of Nonlinear Systems in Koopman Form. CoRR Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2021	J	`jnl`	Identification of the nonlinear steering dynamics of an autonomous vehicle. CoRR Gábor Rödönyi, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Daniel Pup, Ádám Kisari, Zs. Vígh, Péter Korös, Alexandros Soumelidis, József Bokor
2020	J	`jnl`	Non-linear State-space Model Identification from Video Data using Deep Encoders. CoRR Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens