Sebastian Krumscheid

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Data Assimilation

Monte Carlo Method

Differential Equations

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Multiscale Model. Simul.

Publications

Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations. CoRR (2024)
Per Pettersson, Sebastian Krumscheid, Sarah Gasda
storage. CoRR (2024)
Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone
Scalable method for Bayesian experimental design without integrating over posterior distribution. CoRR (2023)
Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners
A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves. CoRR (2023)
Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah Gasda, Sebastian Krumscheid
fault leakage. CoRR (2023)
Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone
Double-loop quasi-Monte Carlo estimator for nested integration. CoRR (2023)
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 (2022)
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) (2022)
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 (2021)
Luis Espath, Sebastian Krumscheid, Raúl Tempone, Pedro Vilanova
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods. CoRR (2021)
Per Pettersson, Sebastian Krumscheid
Adaptive stratified sampling for non-smooth problems. CoRR (2021)
Sebastian Krumscheid, Fabio Nobile, M. Pisaroni
Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation. J. Comput. Phys. 414 (2020)
Håkon Hoel, Sebastian Krumscheid
Central limit theorems for multilevel Monte Carlo methods. J. Complex. 54 (2019)
Sebastian Krumscheid, Fabio Nobile
Multilevel Monte Carlo Approximation of Functions. SIAM/ASA J. Uncertain. Quantification 6 (3) (2018)