no code implementations • 19 Apr 2021 • Aydin Buluc, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science.
no code implementations • 16 Jun 2020 • Laura Swiler, Mamikon Gulian, Ari Frankel, Cosmin Safta, John Jakeman
Gaussian process regression is a popular Bayesian framework for surrogate modeling of expensive data sources.
no code implementations • 2 Jun 2020 • Tong Qin, Zhen Chen, John Jakeman, Dongbin Xiu
To circumvent the difficulty presented by the non-autonomous nature of the system, our method transforms the solution state into piecewise integration of the system over a discrete set of time instances.