274 citations · 1.8k across the 48 of their papers we have counts for
5 papers · 1 filter
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
Septimus Boshoff, Sebastian Peitz, Stefan Klus
The Koopman operator, as a linear representation of a nonlinear dynamical system, has been attracting attention in many fields of science. Recently, Koopman operator theory has bee…
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs
Hongyu Zhu, Stefan Klus, Tuhin Sahai
We propose a novel robust decentralized graph clustering algorithm that is provably equivalent to the popular spectral clustering approach. Our proposed method uses the existing wa…
Tensor-based algorithms for image classification
Stefan Klus, Patrick Gelß
The interest in machine learning with tensor networks has been growing rapidly in recent years. We show that tensor-based methods developed for learning the governing equations of…
Kernel Conditional Density Operators
Ingmar Schuster, Mattes Mollenhauer, Stefan Klus +1
We introduce a novel conditional density estimation model termed the conditional density operator (CDO). It naturally captures multivariate, multimodal output densities and shows p…
A Traveling Salesman Learns Bayesian Networks
Tuhin Sahai, Stefan Klus, Michael Dellnitz
Structure learning of Bayesian networks is an important problem that arises in numerous machine learning applications. In this work, we present a novel approach for learning the st…