most citedAuxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving

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cs.LG2024★ 1 cited

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning

Zhipeng Ma, Zheyan Tu, Xinhai Chen +6

Trajectory representation learning plays a pivotal role in supporting various downstream tasks. Traditional methods in order to filter the noise in GPS trajectories tend to focus o…

cs.LG2023★ 1 cited

Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving

Junjun Yan, Xinhai Chen, Zhichao Wang +2

Physics-informed neural networks (PINNs) have emerged as promising surrogate modes for solving partial differential equations (PDEs). Their effectiveness lies in the ability to cap…