Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation. - Anthony M. DeGennaro; Nathan M. Urban (SIAM J. Sci. Comput., 2019)

Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models. - Tatiana Konstantinova; Lutz Wiegart; Maksim S. Rakitin; Anthony M. DeGennaro; Andi M. Barbour (CoRR, 2021)

Randomized Algorithms for Scientific Computing (RASC). - Aydin Buluç; Tamara G. Kolda; Stefan M. Wild; Mihai Anitescu; Anthony M. DeGennaro; John Jakeman; Chandrika Kamath 001; Ramakrishnan Kannan; Miles E. Lopes; Per-Gunnar Martinsson; Kary L. Myers; Jelani Nelson; et al. (CoRR, 2021)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution. - Tatiana Konstantinova; Lutz Wiegart; Maksim S. Rakitin; Anthony M. DeGennaro; Andi M. Barbour (CoRR, 2022)