uncertainty-quantification

Documents about uncertainty-quantification

• Sequential Bayesian experimental design for calibration of expensive simulation models#780551eScholarship
• Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators#999776arXiv (All)
• Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification#260671Spiral
• Distribution-free uncertainty quantification for daily treasury yield curves with functional principal component forecasting and vector autoregression#309504Recep Tayyip Erdoğan University Institutional Repository
• Physics-Informed Digital Twins in Computational Engineering: a PRISMA-ScR Review of Physics-Informed Learning, Neural Operators, Uncertainty Quantification, Real-Time Updating, and Deployment Readiness#428743Springer Nature OA
• A Kalman-based identification framework for estimating thermophysical properties in transient layered heat conduction systems#1038903HAL (France)
• LOCAL RESIDUAL CONFORMAL PREDICTION FOR MULTI-STEP FORECASTING: DEVELOPMENT AND COMPARATIVE EVALUATION#340930OpenMETU
• A UNIFIED DECISION-TO-ACTION GOVERNANCE ARCHITECTURE FOR PRODUCTION AI SYSTEMS#929013Zenodo (CERN)
• Improving solar irradiance estimates for PV production in Ireland using Bayesian spatio-temporal modelling with open-source data#1002185ULRR
• Data-driven upper bounds and event attribution for unprecedented heatwaves#983591eScholarship
• Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations#973055arXiv (All)
• Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1#619914eScholarship
• SS&C Technologies Canada Corp. v. Bank of New York Mellon Corp.#638321CanLII