activity
20232026
most citedData-Augmented Predictive Deep Neural Network: Enhancing the extrapolation capabilities of non-intrusive surrogate models

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2026

An Iterative Active Subspace Approach for Model Order Reduction of Parametric Systems with High-Dimensional Parameter Spaces

Chenzi Wang, Peizhi Yu, Lihong Feng +3

The increasing complexity in design and manufacturing has driven the need for advanced techniques for fast modeling problems with large-dimensional parameter spaces. Avoiding high-…

math.NA2025

Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems

Harshit Kapadia, Peter Benner, Lihong Feng

In situations where the solution of a high-fidelity dynamical system needs to be evaluated repeatedly, over a vast pool of parametric configurations and in absence of access to the…

cs.LG2025

Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs

Shuwen Sun, Lihong Feng, Peter Benner

We explore the promising performance of a transformer model in predicting outputs of parametric dynamical systems with external time-varying input signals. The outputs of such syst…

math.NA2024

Discrete empirical interpolation in the tensor t-product framework

Sridhar Chellappa, Lihong Feng, Peter Benner

The discrete empirical interpolation method (DEIM) is a well-established approach, widely used for state reconstruction using sparse sensor/measurement data, nonlinear model reduct…

cs.LG2024★ 2 cited

Data-Augmented Predictive Deep Neural Network: Enhancing the extrapolation capabilities of non-intrusive surrogate models

Shuwen Sun, Lihong Feng, Peter Benner

Numerically solving a large parametric nonlinear dynamical system is challenging due to its high complexity and the high computational costs. In recent years, machine-learning-aide…

math.OC2024★ 1 cited

Estimates of the Kolmogorov n-width for nonlinear transformations with application to distributed-parameter control systems

Alexander Zuyev, Lihong Feng, Peter Benner

This paper aims at characterizing the approximability of bounded sets in the range of nonlinear operators in Banach spaces by finite-dimensional linear varieties. In particular, th…

math.OC2024

Iterative approximations of periodic trajectories for nonlinear systems with discontinuous inputs

Alexander Zuyev, Peter Benner

Nonlinear control-affine systems described by ordinary differential equations with bounded measurable input functions are considered. The solvability of general boundary value prob…

math.NA2023★ 2 cited

Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology

Sridhar Chellappa, Barış Cansız, Lihong Feng +2

Mathematical models of the human heart are increasingly playing a vital role in understanding the working mechanisms of the heart, both under healthy functioning and during disease…