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ORCIDSebastian Krumscheid
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2020 – today
- 2024
[j7]Niklas Baumgarten, Sebastian Krumscheid
, Christian Wieners:
A Fully Parallelized and Budgeted Multilevel Monte Carlo Method and the Application to Acoustic Waves. SIAM/ASA J. Uncertain. Quantification 12(3): 901-931 (2024)- [i10]Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank:
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations. CoRR abs/2402.16613 (2024) - [i9]Per Pettersson, Sebastian Krumscheid, Sarah Gasda:
Multi-objective optimization for multi-agent injection strategies in subsurface CO2 storage. CoRR abs/2406.07711 (2024) - 2023
- [i8]Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone:
Double-loop quasi-Monte Carlo estimator for nested integration. CoRR abs/2302.14119 (2023) - [i7]Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone:
Scalable method for Bayesian experimental design without integrating over posterior distribution. CoRR abs/2306.17615 (2023) - [i6]Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners:
A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves. CoRR abs/2307.10767 (2023) - [i5]Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah Gasda, Sebastian Krumscheid:
Copula modeling and uncertainty propagation in field-scale simulation of CO2 fault leakage. CoRR abs/2312.05851 (2023) - 2022
- [j6]Vyacheslav Boyko, Sebastian Krumscheid, Nikki Vercauteren:
Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering. Multiscale Model. Simul. 20(4): 1251-1283 (2022) - [i4]Quentin Ayoul-Guilmard, Sundar Ganesh, Sebastian Krumscheid, Fabio Nobile:
Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures. CoRR abs/2208.07252 (2022) - 2021
- [i3]Truong-Vinh Hoang, Sebastian Krumscheid, Hermann G. Matthies, Raúl Tempone:
Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation. CoRR abs/2106.07908 (2021) - [i2]Per Pettersson, Sebastian Krumscheid:
Adaptive stratified sampling for non-smooth problems. CoRR abs/2107.01355 (2021) - [i1]Luis Espath, Sebastian Krumscheid, Raúl Tempone, Pedro Vilanova:
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods. CoRR abs/2109.10933 (2021) - 2020
- [j5]Sebastian Krumscheid, Fabio Nobile, Michele Pisaroni:
Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation. J. Comput. Phys. 414: 109466 (2020)
2010 – 2019
- 2019
- [j4]Håkon Hoel, Sebastian Krumscheid:
Central limit theorems for multilevel Monte Carlo methods. J. Complex. 54 (2019) - 2018
- [j3]Sebastian Krumscheid, Fabio Nobile:
Multilevel Monte Carlo Approximation of Functions. SIAM/ASA J. Uncertain. Quantification 6(3): 1256-1293 (2018) - 2015
- [j2]Serafim Kalliadasis, Sebastian Krumscheid, Grigorios A. Pavliotis:
A new framework for extracting coarse-grained models from time series with multiscale structure. J. Comput. Phys. 296: 314-328 (2015) - 2013
- [j1]Sebastian Krumscheid, Grigorios A. Pavliotis, Serafim Kalliadasis:
Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions. Multiscale Model. Simul. 11(2): 442-473 (2013)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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