GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs. - Jeff Borggaard; Nathan E. Glatt-Holtz; Justin Krometis (J. Comput. Phys., 2019)

On the accept-reject mechanism for Metropolis-Hastings algorithms. - Nathan E. Glatt-Holtz; Justin A. Krometis; Cecilia F. Mondaini (CoRR, 2020)

A Bayesian Approach to Estimating Background Flows from a Passive Scalar. - Jeff Borggaard; Nathan E. Glatt-Holtz; Justin Krometis (SIAM/ASA J. Uncertain. Quantification, 2020)

Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space. - Daniel Sobien; Erik Higgins; Justin Krometis; Justin A. Kauffman; Laura J. Freeman (Mach. Learn. Knowl. Extr., 2022)

A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations. - William Snyder; Alex Santiago Anaya; Justin Krometis; Traian Iliescu; Raffaella De Vita (Comput. Math. Appl., 2023)

Uncertainty Quantification in Data Fusion Classifier for Ship-Wake Detection. - Maice Costa; Daniel Sobien; Ria Garg; Winnie Cheung; Justin Krometis; Justin A. Kauffman (Remote. Sens., 2024)