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11/16/2022
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition
Physics-informed neural networks (PINNs) have attracted significant atte...
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10/12/2022
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization
The cubic regularization method (CR) and its adaptive version (ARC) are ...
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09/27/2022
Approximate Secular Equations for the Cubic Regularization Subproblem
The cubic regularization method (CR) is a popular algorithm for unconstr...
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05/23/2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization
Wide applications of differentiable two-player sequential games (e.g., i...
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08/30/2021
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
In this paper, we study a physics-informed algorithm for Wasserstein Gen...
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03/18/2021