Optimal Transport Based Filtering with Nonlinear State Equality Constraints

@article{Das2020OptimalTB,
  title={Optimal Transport Based Filtering with Nonlinear State Equality Constraints},
  author={Niladri Das and R. Bhattacharya},
  journal={IFAC-PapersOnLine},
  year={2020}
}
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A novel training strategy for solving the FPKE using OT-based sampling to supplement the existing PINNs framework is presented, an iterative approach that induces a network trained on a small dataset to add samples to its training dataset from regions where it nominally makes the most error.

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