Uncertainty-Aware Flow Field Reconstruction with SVGP-Based Neural Networks
Published:Dec 27, 2025 01:16
•1 min read
•ArXiv
Analysis
This research explores a novel approach to flow field reconstruction using a combination of Stochastic Variational Gaussian Processes (SVGP) and Kolmogorov-Arnold Networks, incorporating uncertainty estimation. The paper's contribution lies in its application of SVGP within a specific neural network architecture for improved accuracy and reliability in fluid dynamics simulations.
Key Takeaways
Reference
“The research focuses on flow field reconstruction.”