2 papers
stat.ML2026
Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator
Carrie J. Lei-Cramer, Michael S. Jones, Laura J. Wendelberger
Uncertainty quantification is critical in scientific machine learning, where black-box, image-based models are increasingly deployed in high-stakes settings. In many such applicati…
stat.ME2026
Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes
Carrie J. Lei-Cramer, Jian Cao, Matthias Katzfuss
Generative modeling of spatio-temporal fields is crucial for a variety of applications, including stochastic weather generators and climate-model surrogates. However, many such fie…