Sebastian Krumscheid

26 papers Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error. CoRR Vinh Hoang, Sebastian Krumscheid, Holger Rauhut, Raúl Tempone
2025	J	`jnl`	An Investigation into the Distribution of Ratios of Particle Solver-based Likelihoods. CoRR Emil Løvbak, Sebastian Krumscheid
2025	J	`jnl`	Low-rank variance reduction for uncertain radiative transfer with control variates. CoRR Chinmay Patwardhan, Pia Stammer, Emil Løvbak, Jonas Kusch, Sebastian Krumscheid
2025	J	`jnl`	Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion. CoRR Jaroslav I. Borodavka, Max Hirsch, Sebastian Krumscheid, Andrea Zanoni
2025	J	`jnl`	Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution. SIAM/ASA J. Uncertain. Quantification Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2025	—	`conf`	The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference. CLeaR Johan de Aguas, Sebastian Krumscheid, Johan Pensar, Guido Biele
2024	J	`jnl`	A Fully Parallelized and Budgeted Multilevel Monte Carlo Method and the Application to Acoustic Waves. SIAM/ASA J. Uncertain. Quantification Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners
2024	J	`jnl`	Multi-objective optimization for multi-agent injection strategies in subsurface CO CoRR Per Pettersson, Sebastian Krumscheid, Sarah Eileen Gasda
2024	J	`jnl`	Multilevel randomized quasi-Monte Carlo estimator for nested integration. CoRR Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2024	J	`jnl`	Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs. CoRR Maximilian Kruse, Sebastian Krumscheid
2024	J	`jnl`	Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates. CoRR Stjepan Salatovic, Sebastian Krumscheid, Florian Wittemann, Luise Kärger
2024	J	`jnl`	Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations. CoRR Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank
2023	J	`jnl`	A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves. CoRR Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners
2023	J	`jnl`	Copula modeling and uncertainty propagation in field-scale simulation of CO CoRR Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah Eileen Gasda, Sebastian Krumscheid
2023	J	`jnl`	Double-loop quasi-Monte Carlo estimator for nested integration. CoRR Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2023	J	`jnl`	Scalable method for Bayesian experimental design without integrating over posterior distribution. CoRR Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raúl Tempone
2022	J	`jnl`	Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures. CoRR Quentin Ayoul-Guilmard, Sundar Ganesh, Sebastian Krumscheid, Fabio Nobile
2022	J	`jnl`	Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering. Multiscale Model. Simul. Vyacheslav Boyko, Sebastian Krumscheid, Nikki Vercauteren
2021	J	`jnl`	Adaptive stratified sampling for non-smooth problems. CoRR Per Pettersson, Sebastian Krumscheid
2021	J	`jnl`	Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation. CoRR Truong-Vinh Hoang, Sebastian Krumscheid, Hermann G. Matthies, Raúl Tempone
2021	J	`jnl`	On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods. CoRR Luis Espath, Sebastian Krumscheid, Raúl Tempone, Pedro Vilanova
2020	J	`jnl`	Quantifying uncertain system outputs via the multilevel Monte Carlo method - Part I: Central moment estimation. J. Comput. Phys. Sebastian Krumscheid, Fabio Nobile, Michele Pisaroni
2019	J	`jnl`	Central limit theorems for multilevel Monte Carlo methods. J. Complex. Håkon Hoel, Sebastian Krumscheid
2018	J	`jnl`	Multilevel Monte Carlo Approximation of Functions. SIAM/ASA J. Uncertain. Quantification Sebastian Krumscheid, Fabio Nobile
2015	J	`jnl`	A new framework for extracting coarse-grained models from time series with multiscale structure. J. Comput. Phys. Serafim Kalliadasis, Sebastian Krumscheid, Grigorios A. Pavliotis
2013	J	`jnl`	Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions. Multiscale Model. Simul. Sebastian Krumscheid, Grigorios A. Pavliotis, Serafim Kalliadasis