9 citations · 15 across the 8 of their papers we have counts for
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math.DS2023
Data-driven optimal control with neural network modeling of gradient flows
Xuping Tian, Baskar Ganapathysubramanian, Hailiang Liu
Extracting physical laws from observation data is a central challenge in many diverse areas of science and engineering. We propose Optimal Control Neural Networks (OCN) to learn th…
math.OC2023★ 2 cited
Adaptive Preconditioned Gradient Descent with Energy
Hailiang Liu, Levon Nurbekyan, Xuping Tian +1
We propose an adaptive step size with an energy approach for a suitable class of preconditioned gradient descent methods. We focus on settings where the preconditioning is applied…