Uncertainty Quantification for Machine Learning — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistics in Defense and National Security, Uncertainty Quantification in Complex Systems Interest Group
Organizer(s): Michael Grosskopf, Los Alamos National Laboratory; Natalie Klein, Los Alamos National Laboratory
Chair(s): Natalie Klein, Los Alamos National Laboratory
A Phase Transition for Finding Needles in Nonlinear Haystacks with LASSO Artificial Neural Networks Nicolas Hengartner, Center for nonlienar studies, Los Alamos National Laboratory; Sylvain Sardy, Dept. of Mathematics, University of Geneva; Nikolai Bobenko, Universoty of Geneva; Yen Ting Lin , Infformation Sciences group, Los Alamos National Laboratory; Xiaoyu Ma, Shandong University and University of Geneva
