1 to 6 of 6 Results
Mar 8, 2024
Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory |
Mar 8, 2024
Advanced learning strategies for potential energy surfaces applied to organic electrolytes |
Sep 29, 2021
SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization" |
Oct 27, 2020
SimTech Project PN 6-4 "Visual Analytics for Deep Learning" |
Mar 16, 2021
SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation" |
May 17, 2023
Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconf... |