4 citations · 6 across the 5 of their papers we have counts for
9 papers
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
Switching dynamical systems are an expressive model class for the analysis of time-series data. As in many fields within the natural and engineering sciences, the systems under stu…
Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
Switching dynamical systems provide a powerful, interpretable modeling framework for inference in time-series data in, e.g., the natural sciences or engineering applications. Since…
Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation
Sven Dittus, Benjamin Alt, Andreas Hermann +3
This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time. To cope with a de…
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt, Matthias Schultheis, Heinz Koeppl
Many processes, such as discrete event systems in engineering or population dynamics in biology, evolve in discrete space and continuous time. We consider the problem of optimal de…
On the Throughput Optimization in Large-Scale Batch-Processing Systems
Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay +5
We analyze a data-processing system with clients producing jobs which are processed in \textit{batches} by parallel servers; the system throughput critically depends on the…
Correlation Priors for Reinforcement Learning
Bastian Alt, Adrian Šošić, Heinz Koeppl
Many decision-making problems naturally exhibit pronounced structures inherited from the characteristics of the underlying environment. In a Markov decision process model, for exam…