Hamilton-Jacobi partial differential equations (HJ PDEs) have deep
conne...
Solving high-dimensional optimal control problems in real-time is an
imp...
Logistic regression is a widely used statistical model to describe the
r...
The primal-dual hybrid gradient (PDHG) algorithm is a first-order method...
We consider image denoising problems formulated as variational problems....
Solving high dimensional optimal control problems and corresponding
Hami...
Many imaging problems can be formulated as inverse problems expressed as...
We propose a novel Caputo fractional derivative-based optimization algor...
We consider the problem of optimizing the trajectory of an Unmanned Aeri...
Physics informed neural networks (PINNs) are deep learning based techniq...
Variational and Bayesian methods are two approaches that have been widel...
We propose novel connection between several neural network architectures...
In this paper, we consider the problem of optimizing the trajectory of a...