Erik von Schwerin

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Importance sampling for rare event tracking within the ensemble Kalman filtering framework.
Stat. Comput.
Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raúl Tempone
2025 J jnl
Convergence for adaptive resampling of random Fourier features.
CoRR
Xin Huang, Aku Kammonen, Anamika Pandey, Mattias Sandberg, Erik von Schwerin, Anders Szepessy, Raúl Tempone
2025 J jnl
Goal-Oriented Adaptive Finite Element Multilevel Quasi-{M}onte {C}arlo.
CoRR
Joakim Beck, Yang Liu, Erik von Schwerin, Raúl Tempone
2024 J jnl
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression.
CoRR
Aku Kammonen, Anamika Pandey, Erik von Schwerin, Raúl Tempone
2024 J jnl
Importance sampling for rare event tracking within the ensemble Kalman filtering framework.
CoRR
Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova, Raúl Tempone
2022 J jnl
Goal-Oriented Adaptive Finite Element Multilevel Monte Carlo with Convergence Rates.
CoRR
Joakim Beck, Yang Liu, Erik von Schwerin, Raúl Tempone
2020 J jnl
A Wasserstein Coupled Particle Filter for Multilevel Estimation.
CoRR
Marco Ballesio, Ajay Jasra, Erik von Schwerin, Raúl Tempone
2014 J jnl
Analysis of Discrete L
Found. Comput. Math.
Giovanni Migliorati, Fabio Nobile, Erik von Schwerin, Raúl Tempone
2014 J jnl
Implementation and analysis of an adaptive multilevel Monte Carlo algorithm.
Monte Carlo Methods Appl.
Håkon Hoel, Erik von Schwerin, Anders Szepessy, Raúl Tempone
2014 J jnl
On NonAsymptotic Optimal Stopping Criteria in Monte Carlo Simulations.
SIAM J. Sci. Comput.
Christian Bayer, Håkon Hoel, Erik von Schwerin, Raúl Tempone
2013 J jnl
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete L
SIAM J. Sci. Comput.
Giovanni Migliorati, Fabio Nobile, Erik von Schwerin, Raúl Tempone