Concepedia

Søren Taverniers

ST

5

Publications

104

Citations

5

H-Index

2014

Active since

Affiliations

Stanford University(Current)

University of Massachusetts Amherst

University of Dundee

Søren Taverniers is an author at Stanford University specializing in engineering, machine learning, and statistics.

Top concepts

EngineeringStatisticsMachine LearningStatistical InferenceNoiseEntropyPhysicsManagementForecastingData Science

Publications per year

2014–2021

5

Publications

5

GINNs: Graph-Informed Neural Networks for multiscale physics

Eric Joseph Hall, Søren Taverniers, Markos A. Katsoulakis et al. · Journal of Computational Physics · 2021 · 34 citations · Full text

Graph Neural Network, Machine Learning, Physics +4

Estimation of distributions via multilevel Monte Carlo with stratified sampling

Søren Taverniers, Daniel M. Tartakovsky · Journal of Computational Physics · 2020 · 28 citations · Full text

Monte Carlo, Multilevel Monte Carlo, Monte Carlo Method +5

Accelerated Multilevel Monte Carlo With Kernel‐Based Smoothing and Latinized Stratification

Søren Taverniers, Sebastian B.M. Bosma, Daniel M. Tartakovsky · Water Resources Research · 2020 · 15 citations

Standard Monte Carlo, Engineering, Monte Carlo Methods +22

Mutual information for explainable deep learning of multiscale systems

Søren Taverniers, Eric Joseph Hall, Markos A. Katsoulakis et al. · Journal of Computational Physics · 2021 · 15 citations · Full text

Engineering, Machine Learning, Entropy +4

Noise propagation in hybrid models of nonlinear systems: The Ginzburg–Landau equation

Søren Taverniers, Francis J. Alexander, Daniel M. Tartakovsky · Journal of Computational Physics · 2014 · 12 citations

Engineering, Noise, Nonlinear Systems +4

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