61 citations · 124 across the 7 of their papers we have counts for
7 papers
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
Bosu Choi, Jihun Han, Yoonsang Lee
Regularization is a critical technique for ensuring well-posedness in solving inverse problems with incomplete measurement data. Traditionally, the regularization term is designed…
Energy-Efficient Driving in Connected Corridors via Minimum Principle Control: Vehicle-in-the-Loop Experimental Verification in Mixed Fleets
Tyler Ard, Longxiang Guo, Jihun Han +3
Connected and automated vehicles (CAVs) can plan and actuate control that explicitly considers performance, system safety, and actuation constraints in a manner more efficient than…
A Neural Network Approach for Homogenization of Multiscale Problems
Jihun Han, Yoonsang Lee
We propose a neural network-based approach to the homogenization of multiscale problems. The proposed method uses a derivative-free formulation of a training loss, which incorporat…
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks
Jihun Han, Yoonsang Lee
The neural network-based approach to solving partial differential equations has attracted considerable attention due to its simplicity and flexibility in representing the solution…
Inhomogenous Regularization with Limited and Indirect Data
Jihun Han, Yoonsang Lee
For an ill-posed inverse problem, particularly with incomplete and limited measurement data, regularization is an essential tool for stabilizing the inverse problem. Among various…
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks
Jihun Han, Mihai Nica, Adam R Stinchcombe
We introduce a deep neural network based method for solving a class of elliptic partial differential equations. We approximate the solution of the PDE with a deep neural network wh…
The Intrinsic Bounds on the Risk Premium of Markovian Pricing Kernels
Jihun Han, Hyungbin Park
The risk premium is one of main concepts in mathematical finance. It is a measure of the trade-offs investors make between return and risk and is defined by the excess return relat…