Delivery: an open-source model-based Bayesian seismic inversion program. - James Gunning; Michael E. Glinsky (Comput. Geosci., 2004)

Wavelet extractor: A Bayesian well-tie and wavelet extraction program. - James Gunning; Michael E. Glinsky (Comput. Geosci., 2006)

Delivery Massager: A tool for propagating seismic inversion information into reservoir models. - James Gunning; Michael E. Glinsky; Chris White (Comput. Geosci., 2007)

Quantification of MagLIF morphology using the Mallat Scattering Transformation. - Michael E. Glinsky; Thomas W. Moore; William E. Lewis; Matthew R. Weis; Christopher A. Jennings; David J. Ampleford; Patrick F. Knapp; Eric C. Harding; Matthew R. Gomez; Adam J. Harvey-Thompson (CoRR, 2020)

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (Machine Learning for Scientific Imaging, 2022)

Physics-assisted Generative Adversarial Network for X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (CoRR, 2022)

Noise-resilient approach for deep tomographic imaging. - Zhen Guo; Zhiguang Liu; Qihang Zhang; George Barbastathis; Michael E. Glinsky (CoRR, 2022)

Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics. - Michael E. Glinsky; Kathryn A. Maupin (CoRR, 2023)

A new economic and financial theory of money. - Michael E. Glinsky; Sharon Sievert (CoRR, 2023)

The inherent goodness of well educated intelligence. - Michael E. Glinsky; Sharon Sievert (CoRR, 2024)