3 papers
math.OC2026
Symmetrized Sinkhorn-Gibbs Inference for Oscillatory Inverse Problems
Gabriel Huerta, Mohammad Motamed
Oscillatory inverse problems often exhibit highly nonconvex discrepancy landscapes due to signal misalignment and cycle-skipping phenomena, posing significant challenges for uncert…
math.NA2020
Hierarchical Low-Rank Approximation of Regularized Wasserstein Distance
Mohammad Motamed
Sinkhorn divergence is a measure of dissimilarity between two probability measures. It is obtained through adding an entropic regularization term to Kantorovich's optimal transport…
math.NA2019
A multi-fidelity neural network surrogate sampling method for uncertainty quantification
Mohammad Motamed
We propose a multi-fidelity neural network surrogate sampling method for the uncertainty quantification of physical/biological systems described by ordinary or partial differential…