2 citations · 3 across the 3 of their papers we have counts for
3 papers
Second-order consistency for learning chaotic dynamics via randomized Jacobian matching
Shinhoo Kang, Hai V. Nguyen, Tan Bui-Thanh
Short-horizon accuracy does not ensure that a learned chaotic system has correct long-time dynamics. Trajectory (zeroth-order) matching constrains vector-field values, and Jacobian…
TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems
Hai V. Nguyen, Tan Bui-Thanh, Clint Dawson
Efficient real-time solvers for forward and inverse problems are essential in engineering and science applications. Machine learning surrogate models have emerged as promising alte…
On Unifying Randomized Methods For Inverse Problems
Jonathan Wittmer, C. G. Krishnanunni, Hai V. Nguyen +1
This work unifies the analysis of various randomized methods for solving linear and nonlinear inverse problems by framing the problem in a stochastic optimization setting. By doing…