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Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio
0citations -
Online Model-Based Anomaly Detection in Multivariate Time Series: Survey, Research Challenges and Future Directions2024 SSRN Electronic Journal preprint Computer Science Anomaly Detection Techniques and Applications Open access
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
0citations -
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos
0citations -
Bayesian calibration, process modeling and uncertainty quantification in biotechnology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
4citations -
Predicting clinical drug response from model systems by non-linear subspace-based transfer learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
9citations