5 papers
Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders
Boris Lorbeer, Axel Küpper
We live in a world full of complex systems which we need to improve our understanding of. To accomplish this, purely probabilistic investigations are often not enough. They are onl…
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders
Boris Lorbeer, Mustafa Mohsen
Nowadays, the need for causal discovery is ubiquitous. A better understanding of not just the stochastic dependencies between parts of a system, but also the actual cause-effect re…
Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles
Boris Lorbeer, Max Botler
In this paper, we propose POTATOES (Partitioning OverfiTting AuTOencoder EnSemble), a new method for unsupervised outlier detection (UOD). More precisely, given any autoencoder for…
Anomaly Detection with HMM Gauge Likelihood Analysis
Boris Lorbeer, Tanja Deutsch, Peter Ruppel +1
This paper describes a new method, HMM gauge likelihood analysis, or GLA, of detecting anomalies in discrete time series using Hidden Markov Models and clustering. At the center of…
Finite gap integration of a discrete Euler top
Boris Lorbeer
In [1] new discretizations of the Euler top have been found. They can be discribed with a Lax pair with a spectral parameter on an elliptic curve. This is used in this paper to per…