3 papers
cs.LG2025
Physics-informed learning under mixing: How physical knowledge speeds up learning
Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach +2
A major challenge in physics-informed machine learning is to understand how the incorporation of prior domain knowledge affects learning rates when data are dependent. Focusing on…
physics.med-ph2025
A quantitative analysis of intraventricular bioimpedance in an in vivo pilot study with contextual pressure measurements
Fabian Flürenbrock, Christian T. Stoeck, Markus F. Oertel +4
Hydrocephalus is a neurological condition characterized by disturbed cerebrospinal fluid (CSF) dynamics and is typically treated with shunt systems that drain excessive CSF out of…
cs.RO2025
Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation
Fabian Flürenbrock, Yanick Büchel, Johannes Köhler +2
This paper introduces a learning-based control framework for a soft robotic actuator system designed to modulate intracranial pressure (ICP) waveforms, which is essential for study…