43 citations · 100 across the 16 of their papers we have counts for
3 papers · 1 filter
Turnpike properties in nonlinear system identification
Julian D. Schiller, Matthias A. Müller
We analyze the problem of learning general discrete-time nonlinear state-space models using the simulation error minimization (SEM) method. In this setting, model parameters are ty…
Small-gain analysis of exponential incremental input/output-to-state stability for large-scale distributed systems
Christian Gatke, Julian D. Schiller, Matthias A. Müller
We provide a detectability analysis for nonlinear large-scale distributed systems in the sense of exponential incremental input/output-to-state stability (i-IOSS). In particular, w…
Tuning the burn-in phase in training recurrent neural networks improves their performance
Julian D. Schiller, Malte Heinrich, Victor G. Lopez +1
Training recurrent neural networks (RNNs) with standard backpropagation through time (BPTT) can be challenging, especially in the presence of long input sequences. A practical alte…