Discrete Empirical Interpolation for nonlinear model reduction. - Saifon Chaturantabut; Danny C. Sorensen (CDC, 2009)

Morphologically accurate reduced order modeling of spiking neurons. - Anthony R. Kellems; Saifon Chaturantabut; Danny C. Sorensen; Steven J. Cox (J. Comput. Neurosci., 2010)

Nonlinear Model Reduction via Discrete Empirical Interpolation. - Saifon Chaturantabut; Danny C. Sorensen (SIAM J. Sci. Comput., 2010)

A State Space Error Estimate for POD-DEIM Nonlinear Model Reduction. - Saifon Chaturantabut; Danny C. Sorensen (SIAM J. Numer. Anal., 2012)

Nonlinear Parametric Inversion Using Interpolatory Model Reduction. - Eric de Sturler; Serkan Gugercin; Misha Elena Kilmer; Saifon Chaturantabut; Christopher A. Beattie; Meghan O'Connell (SIAM J. Sci. Comput., 2015)

Structure-Preserving Model Reduction for Nonlinear Port-Hamiltonian Systems. - Saifon Chaturantabut; Christopher A. Beattie; Serkan Gugercin (SIAM J. Sci. Comput., 2016)

Missing Image Data Reconstruction Based on Least-Squares Approach with Randomized SVD. - Siriwan Intawichai; Saifon Chaturantabut (ICO, 2020)

An Application of a Modified Gappy Proper Orthogonal Decomposition on Complexity Reduction of Allen-Cahn Equation. - Chutipong Dechanubeksa; Saifon Chaturantabut (Algorithms, 2020)

Stabilized model reduction for nonlinear dynamical systems through a contractivity-preserving framework. - Saifon Chaturantabut (Int. J. Appl. Math. Comput. Sci., 2020)

Parametric Nonlinear Model Reduction Using K-Means Clustering for Miscible Flow Simulation. - Norapon Sukuntee; Saifon Chaturantabut (J. Appl. Math., 2020)

A Missing Data Reconstruction Method Using an Accelerated Least-Squares Approximation with Randomized SVD. - Siriwan Intawichai; Saifon Chaturantabut (Algorithms, 2022)

Parametric Nonlinear Model Reduction Using Machine Learning on Grassmann Manifold with an Application on a Flow Simulation. - Norapon Sukuntee; Saifon Chaturantabut (J. Nonlinear Sci., 2024)