4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Lenart Treven, Philippe Wenk, Florian Dörfler +1
Differential equations in general and neural ODEs in particular are an essential technique in continuous-time system identification. While many deterministic learning algorithms ha…
cs.LG2020★ 4 cited
Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method
Luka Kolar, Rok Šikonja, Lenart Treven
We present a novel method for inferring ground-truth signal from multiple degraded signals, affected by different amounts of sensor exposure. The algorithm learns a multiplicative…
eess.SY2020
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
Lenart Treven, Sebastian Curi, Mojmir Mutny +1
The principal task to control dynamical systems is to ensure their stability. When the system is unknown, robust approaches are promising since they aim to stabilize a large set of…