Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics. - David Millard 003; Arielle Carr; Stéphane Gaudreault (IEEE Big Data, 2024)

Data-Driven Initial Guess Selection for Numerical Weather Prediction Solvers. - David Millard 003; Arielle Carr; Stéphane Gaudreault (IEEE Big Data, 2024)

PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning. - David Millard 003; Arielle Carr; Stéphane Gaudreault; Ali Baheri (CoRR, 2025)

DEF: Diffusion-augmented Ensemble Forecasting. - David Millard 003; Arielle Carr; Stéphane Gaudreault; Ali Baheri (CoRR, 2025)

Split Conformal Prediction in the Function Space with Neural Operators. - David Millard 003; Lars Lindemann; Ali Baheri (CoRR, 2025)

Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters. - Ali Baheri; David Millard 003; Alireza Vahid (CoRR, 2025)