Towards Decision-Ready Operator Surrogates

Thomas O'Leary-Roseberry
October 9, 2025

Training distribution optimization in the space of probability measures

Nicholas Nelsen
October 9, 2025

Data-efficient kernel methods for learning differential equations and their solution operators

Bamdad Hosseini
October 8, 2025

Operator Learning for History-Dependent and Multiscale Problems

Margaret Trautner
October 8, 2025

Investigating Model Discrepancy Using a Simulation-based Framework

Amy Braverman
October 8, 2025

Efficient Low-Dimensional Compression for Deep Overparameterized Learning and Fine-Tuning

Laura Balzano
October 8, 2025

Exploiting Low-Dimensional Structure in Bayesian Inverse Problems Governed by Ice Sheet Flow Models

Noemi Petra
October 7, 2025

Spatiotemporal Besov Priors for Bayesian Inverse Problems

Mirjeta Pasha
October 7, 2025

Data Selection in PDE-Based Inverse Problems: Insights from Randomized Linear Algebra

Qin Li
October 7, 2025