Publications

Journals and conference proceedings

S Klus, I Schuster, K Muandet. Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces. Journal of Nonlinear Science, 2019 (arxiv.org/abs/1712.01572)

S Klus, A Bittracher, I Schuster, C Schütte. A kernel-based approach to molecular conformation analysis. The Journal of chemical physics, 149(24), 2018 (arxiv.org/abs/1809.11092)

I Schuster, H Strathmann, B Paige and D Sejdinovic. Kernel Sequential Monte Carlo. ECML-PKDD, 2017 (arxiv.org/abs/1510.03105)

Submitted and working papers

I Schuster, M Mollenhauer, S Klus, K Muandet. Kernel Conditional Density Operators. Submitted, 2019 (arxiv.org/abs/1905.11255)

M Mollenhauer, I Schuster, S Klus, C Schütte. Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces. Submitted, 2018 (arxiv.org/abs/1807.09331)

I Schuster, I Klebanov. Markov Chain Importance Sampling – a highly efficient estimator for MCMC. Submitted, 2018 (arxiv.org/abs/1805.07179)

I Schuster. Gradient Importance Sampling. Submitted, 2016. (arxiv.org/abs/1507.05781)

I Schuster. Consistency of Importance Sampling estimates based on dependent sample sets and an application to models with factorizing likelihoods. Working paper, 2015. (arxiv.org/abs/1503.00357)

I Schuster. A Bayesian Model of node interaction in networks. Working paper, 2014. (arxiv.org/abs/1402.4279)

Reports

I Schuster, T Krueger, C Gehl, K Rieck, and P Laskov. FIPS: FIRST intrusion prevention system. Technical Report 1, Fraunhofer FIRST, 2010. (goo.gl/K3GfsO)