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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 -
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
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 -
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more
3citations