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Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn2022 Frontiers in Computational Neuroscience article Neuroscience Neural dynamics and brain function Open access
Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more
9citations -
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 -
Machine Learning‐Based Model Selection and Averaging Outperform Single‐Model Approaches for a Priori Vancomycin Precision Dosing2025 CPT Pharmacometrics & Systems Pharmacology article Medicine Antibiotics Pharmacokinetics and Efficacy Open access
Wisse van Os, Amaury O’Jeanson, Carla Troisi, Chun Liu, Jordan T. Brooks, Jasmine H. Hughes, +2 more
13citations -
Motor sequence learning and learning to learn across the Alzheimer's disease continuum: Associations with biomarkers2026 Journal of Alzheimer s Disease article Medicine Dementia and Cognitive Impairment Research Open access
Marit F. L. Ruitenberg, Paula Carmona Osorio, Jace B. King, John M. Hoffman, Kevin M. Duff, Vincent Koppelmans
1citations -
PEACE: Private and Energy-Efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization2023 International Conference on Information and Communication Systems (ICICS) conference-paper Medicine ECG Monitoring and Analysis
Ahmad Ayad, Mahdi Barhoush, Johnson Loh, Tobias Gemmeke, Anke Schmeink
5citations -
Lessons Learned from a Field Study on Deep-Learning-Based Model Predictive Control for Optimizing the Operation of Façade Ventilation Units2025 Building Simulation Conference proceedings conference-paper Engineering Building Energy and Comfort Optimization Open access
Clara-Larissa Lorenz, Oliver Abele, Jérôme Frisch, Christoph van Treeck
0citations -
Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop2025 IEEE Transactions on Vehicular Technology article Computer Science Reinforcement Learning in Robotics
Mario Picerno, Lucas Koch, Kevin Badalian, Marius Wegener, Joschka Schaub, Charles Robert Koch, +1 more
5citations