The Gaussian process regression strategy proposed by Raphael Carpintero Perez et al. combines regularized optimal transport, dimension reduction techniques, and Gaussian processes indexed by graphs to enable signal prediction and the calculation of confidence intervals on node values for applications in fluid dynamics and solid mechanics.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• Gaussian Process concept