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stat.ML2026
Manifold Constrained Conformal Prediction for Spatial Events
Collin Nill, Trevor Harris, Jason Adams
We introduce a new conformal prediction method that constructs calibrated prediction sets over collections of spatial events, such as tropical cyclone genesis and earthquake locati…
stat.ML2026
Locally Adaptive Conformal Inference for Operator Models
Trevor Harris, Yan Liu
Operator models are regression algorithms between Banach spaces of functions. They have become an increasingly critical tool for spatiotemporal forecasting and physics emulation, e…
stat.ML2026
Flow-Based Conformal Predictive Distributions
Trevor Harris
Conformal prediction provides a distribution-free framework for uncertainty quantification via prediction sets with exact finite-sample coverage. In low dimensions these sets are e…