Sebastian Krumscheid

Orcid: 0000-0002-1421-5403

According to our database1, Sebastian Krumscheid authored at least 20 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2014
2016
2018
2020
2022
2024
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution.
SIAM/ASA J. Uncertain. Quantification, 2025

2024
A Fully Parallelized and Budgeted Multilevel Monte Carlo Method and the Application to Acoustic Waves.
SIAM/ASA J. Uncertain. Quantification, 2024

Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates.
CoRR, 2024

Multilevel randomized quasi-Monte Carlo estimator for nested integration.
CoRR, 2024

Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs.
CoRR, 2024

Multi-objective optimization for multi-agent injection strategies in subsurface CO<sub>2</sub> storage.
CoRR, 2024

Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations.
CoRR, 2024

2023
Copula modeling and uncertainty propagation in field-scale simulation of CO<sub>2</sub> fault leakage.
CoRR, 2023

A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves.
CoRR, 2023

Double-loop quasi-Monte Carlo estimator for nested integration.
CoRR, 2023

2022
Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering.
Multiscale Model. Simul., December, 2022

Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures.
CoRR, 2022

2021
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods.
CoRR, 2021

Adaptive stratified sampling for non-smooth problems.
CoRR, 2021

Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation.
CoRR, 2021

2020
Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation.
J. Comput. Phys., 2020

2019
Central limit theorems for multilevel Monte Carlo methods.
J. Complex., 2019

2018
Multilevel Monte Carlo Approximation of Functions.
SIAM/ASA J. Uncertain. Quantification, 2018

2015
A new framework for extracting coarse-grained models from time series with multiscale structure.
J. Comput. Phys., 2015

2013
Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions.
Multiscale Model. Simul., 2013


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