Heeyoung Kim

Memory-augmented neural networks can dramatically enhance vessel trajectory prediction, achieving significant performance gains over conventional deep learning methods.

By integrating Gaussian process priors into Bayesian Neural ODEs, this method significantly enhances the accuracy and reliability of vessel trajectory predictions in challenging maritime environments.