Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder-RNN Surrogate Model of Molecular-Continuum Flow Simulations

Sabrina Ebert, Olga Catalan Aragall, Malte Buschmann, Philipp Neumann. Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder-RNN Surrogate Model of Molecular-Continuum Flow Simulations. In Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang, editors, Computational Science - ICCS 2026 Workshops - 26th International Conference, ICCS 2026, Hamburg, Germany, June 29 - July 1, 2026, Proceedings, Part IV. Volume 16789 of Lecture Notes in Computer Science, pages 431-445, Springer, 2026. [doi]