Litcius/Paper detail

Higher-Order Quasi-Monte Carlo Training of Deep Neural Networks

Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab

2021SIAM Journal on Scientific Computing15 citationsDOI

Abstract

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 25 September 2020Accepted: 19 August 2021Published online: 02 December 2021Keywordshigher-order quasi-Monte Carlo, machine learning, deep neural networks, parametric PDEs, high-dimensional approximationAMS Subject Headings65D15, 68T07, 65D30, 35R60Publication DataISSN (print): 1064-8275ISSN (online): 1095-7197Publisher: Society for Industrial and Applied MathematicsCODEN: sjoce3

Topics & Concepts

Monte Carlo methodArtificial neural networkDeep neural networksParametric statisticsComputer scienceArtificial intelligenceTraining (meteorology)Applied mathematicsMachine learningMathematicsStatisticsPhysicsMeteorologyMathematical Approximation and IntegrationProbabilistic and Robust Engineering DesignNuclear Physics and Applications