21 citations · 21 across the 3 of their papers we have counts for
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cs.LG2026
Fast-varying Natural Frequencies and Damping Ratio Identification for Linear Time-Varying System
Melisa Bozaci, Alice Cicirello
This work proposes a physics-enhanced machine learning approach for the system identification of Linear Time-Varying (LTV) systems under time-varying operating conditions in terms…
cs.LG2026
Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models
Keivan Faghih Niresi, Alice Cicirello, Olga Fink
Accurate energy demand forecasting is essential for the reliable operation and planning of modern sustainable energy systems. Spatial-temporal graph neural networks (STGNNs) have r…
cs.LG2024★ 21 cited
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations
Alice Cicirello
This position paper takes a broad look at Physics-Enhanced Machine Learning (PEML) -- also known as Scientific Machine Learning -- with particular focus to those PEML strategies de…