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Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn2022 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access
Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more
0citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations -
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 -
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon
0citations