Search Results for author:
Found 3 papers, 0 papers with code
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure
Experimental results demonstrate that the proposed method improves the numerical accuracy of PINNs for partial differential equations.
A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics
This paper presents a modified neural model for topic detection from a corpus and proposes a new metric to evaluate the detected topics.
Composing a surrogate observation operator for sequential data assimilation
In data assimilation, state estimation is not straightforward when the observation operator is unknown.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
