On Runge-Kutta neural networks: Training in series-parallel and parallel configuration. - Michael Deflorian (CDC, 2010)

Schnelles Training neuronaler Netze zur Identifikation nichtlinearer dynamischer Systeme (Fast Training of Neural Networks for Nonlinear Dynamic System Identification). - Michael Deflorian; Florian Klöpper (Autom., 2011)

Multi-criteria Optimization for Parameter Estimation of Physical Models in Combustion Engine Calibration. - Susanne Zaglauer; Michael Deflorian (EMO, 2013)

Generalization of an input-to-state stability preserving Runge-Kutta method for nonlinear control systems. - Michael Deflorian; Matthias Rungger (J. Comput. Appl. Math., 2014)

Input-to-state stability for system identification with continuous-time Runge-Kutta neural networks. - Jonas Weigand; Michael Deflorian; Martin Ruskowski (Int. J. Control, 2023)