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

A Mathematical Perspective On Contrastive Learning

Ricardo Baptista
October 7, 2025

Context-Aware Digital Twin for Underground Storage Operations and Decision Making

Felix Herrmann
October 7, 2025

Lightning Talks

Lightning Talks
October 6, 2025