82 citations · 118 across the 15 of their papers we have counts for
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cs.LG2025
A Physics-Informed Neural Networks-Based Model Predictive Control Framework for Epidemics
Aiping Zhong, Baike She, Philip E. Paré
This work introduces a physics-informed neural networks (PINNs)-based model predictive control (MPC) framework for susceptible-infected-recovered () spreading models. Existing…
stat.ML2025
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
Lei Xin, Baike She, Qi Dou +2
The identification of a linear system model from data has wide applications in control theory. The existing work that provides finite sample guarantees for linear system identifica…
eess.SY2025★ 1 cited
Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy
Bo Chen, Baike She, Calvin Hawkins +2
Reproduction numbers are widely used for the estimation and prediction of epidemic spreading processes over networks. However, conventional reproduction numbers of an overall netwo…