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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 -
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection261citations
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Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, +3 more
2citations -
Selecting Pre-trained Models for Transfer Learning with Data-centric Meta-features2024 HAL (Le Centre pour la Communication Scientifique Directe) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Matt van den Nieuwenhuijzen, Carola Doerr, Jan N. van Rijn, Henry Gouk
0citations -
Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access
Anja Jankovič, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more
1citations -
Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access
Anja Jankovič, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more
0citations