332 citations · 1.2k across the 32 of their papers we have counts for
34 papers
PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
Xinling Yu, José E. C. Serrallés, Ilias I. Giannakopoulos +4
We propose Physics-Informed Fourier Networks for Electrical Properties (EP) Tomography (PIFON-EPT), a novel deep learning-based method for EP reconstruction using noisy and/or inco…
MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks
Xinling Yu, José E. C. Serrallés, Ilias I. Giannakopoulos +4
Electrical properties (EP), namely permittivity and electric conductivity, dictate the interactions between electromagnetic waves and biological tissue. EP can be potential biomark…
Polynomial Preconditioners for Regularized Linear Inverse Problems
Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao +4
This work aims to accelerate the convergence of proximal gradient methods used to solve regularized linear inverse problems. This is achieved by designing a polynomial-based precon…
Fast Training of Provably Robust Neural Networks by SingleProp
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu +3
Recent works have developed several methods of defending neural networks against adversarial attacks with certified guarantees. However, these techniques can be computationally cos…
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics
Tommaso Bradde, Samuel Chevalier, Marco De Stefano +2
This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input…
Network Topology Invariant Stability Certificates for DC Microgrids with Arbitrary Load Dynamics
Samuel Chevalier, Federico Martin Ibanez, Kathleen Cavanagh +3
DC microgrids are prone to small-signal instabilities due to the presence of tightly regulated loads. This paper develops a decentralized stability certificate which is capable of…