3 papers
cs.LG2026
Dynamics-Encoded Deep Learning for Robust System Identification and Parameter Estimation
Caitlin Ho, Andrea Arnold
Incorporating a priori physics knowledge into machine learning leads to more robust and interpretable algorithms. In this work, we combine deep learning techniques and classic nume…
cs.LG2025
Optimal Linear Baseline Models for Scientific Machine Learning
Alexander DeLise, Kyle Loh, Krish Patel +3
Across scientific domains, a fundamental challenge is to characterize and compute the mappings from underlying physical processes to observed signals and measurements. While nonlin…
q-bio.CB2025
Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra
Sara Amato, Andrea Arnold
Neuroinflammation immediately follows the onset of ischemic stroke. During this process, microglial cells are activated in and recruited to the tissue surrounding the irreversibly…