4 citations · 4 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
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…
cs.LG2024
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…