2 papers
cs.LG2025
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi +2
Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high-dimensional, correlated data. While exis…
math.OC2024
A Framework for Balancing Power Grid Efficiency and Risk with Bi-objective Stochastic Integer Optimization
Ramsey Rossmann, Mihai Anitescu, Julie Bessac +4
Power grid expansion planning requires making large investment decisions in the present that will impact the future cost and reliability of a system exposed to wide-ranging uncerta…