Laura Scarabosio

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Monte Carlo Methods

Polynomial Approximation

Top Venues

SIAM/ASA J. Uncertain. Quantification

Comput. Math. Appl.

Adv. Comput. Math.

Publications

Wouter van Harten, Laura Scarabosio
Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains. CoRR (2023)
Laura Scarabosio
Deep Neural Network Surrogates for Nonsmooth Quantities of Interest in Shape Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 10 (1) (2022)
Sabrina Schönfeld, Alican Ozkan, Laura Scarabosio, Marissa Nichole Rylander, Christina Kuttler
Environmental stress level to model tumor cell growth and survival. CoRR (2022)
Laura Scarabosio
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification. CoRR (2021)
Marvin Fritz, Christina Kuttler, Mabel L. Rajendran, Laura Scarabosio, Barbara I. Wohlmuth
On a subdiffusive tumour growth model with fractional time derivative. CoRR (2020)
Ustim Khristenko, Laura Scarabosio, Piotr Swierczynski, Elisabeth Ullmann, Barbara I. Wohlmuth
Analysis of Boundary Effects on PDE-Based Sampling of Whittle-Matérn Random Fields. SIAM/ASA J. Uncertain. Quantification 7 (3) (2019)
Laura Scarabosio, Barbara I. Wohlmuth, J. Tinsley Oden, Danial Faghihi
Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods. Comput. Math. Appl. 78 (8) (2019)
Ralf Hiptmair, Laura Scarabosio, Claudia Schillings, Christoph Schwab
Large deformation shape uncertainty quantification in acoustic scattering. Adv. Comput. Math. 44 (5) (2018)