Michael E. Glinsky

According to our database, Michael E. Glinsky authored at least 10 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The inherent goodness of well educated intelligence.

Michael E. Glinsky, Sharon Sievert

CoRR, 2024

2023

A new economic and financial theory of money.

Michael E. Glinsky, Sharon Sievert

CoRR, 2023

Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics.

Michael E. Glinsky, Kathryn A. Maupin

CoRR, 2023

2022

Noise-resilient approach for deep tomographic imaging.

Zhen Guo, Zhiguang Liu, Qihang Zhang, George Barbastathis, Michael E. Glinsky

CoRR, 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

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

Proceedings of the Machine Learning for Scientific Imaging 2022, 2022

2020

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

2007

Delivery Massager: A tool for propagating seismic inversion information into reservoir models.

James Gunning, Michael E. Glinsky, Chris White

Comput. Geosci., 2007

2006

Wavelet extractor: A Bayesian well-tie and wavelet extraction program.

James Gunning, Michael E. Glinsky

Comput. Geosci., 2006

2004

Delivery: an open-source model-based Bayesian seismic inversion program.

James Gunning, Michael E. Glinsky

Comput. Geosci., 2004