no code implementations • 10 Mar 2023 • Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Kloepper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft
Our extensive study will facilitate choosing appropriate anomaly detection methods in industrial applications.
no code implementations • 17 Feb 2022 • Fabian Jirasek, Robert Bamler, Stephan Mandt
We apply the new approach to predict activity coefficients at infinite dilution and obtain significant improvements compared to the data-driven and physical baselines and established ensemble methods from the machine learning literature.
no code implementations • 28 Jul 2021 • Jan-Tobias Sohns, Michaela Schmitt, Fabian Jirasek, Hans Hasse, Heike Leitte
Embeddings of high-dimensional data are widely used to explore data, to verify analysis results, and to communicate information.
no code implementations • 29 Jan 2020 • Fabian Jirasek, Rodrigo A. S. Alves, Julie Damay, Robert A. Vandermeulen, Robert Bamler, Michael Bortz, Stephan Mandt, Marius Kloft, Hans Hasse
Activity coefficients, which are a measure of the non-ideality of liquid mixtures, are a key property in chemical engineering with relevance to modeling chemical and phase equilibria as well as transport processes.