Sebastian Reich

According to our database1, Sebastian Reich authored at least 39 papers between 1998 and 2021.

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



In proceedings 
PhD thesis 




Randomised maximum likelihood based posterior sampling.
CoRR, 2021

Ensemble Transform Algorithms for Nonlinear Smoothing Problems.
SIAM J. Sci. Comput., 2020

Affine Invariant Interacting Langevin Dynamics for Bayesian Inference.
SIAM J. Appl. Dyn. Syst., 2020

A GNSS-R Geophysical Model Function: Machine Learning for Wind Speed Retrievals.
IEEE Geosci. Remote. Sens. Lett., 2020

Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation.
Entropy, 2020

McKean-Vlasov SDEs in nonlinear filtering.
CoRR, 2020

Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation.
CoRR, 2020

Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation.
CoRR, 2020

Evaluating Impact of Rain Attenuation on Space-borne GNSS Reflectometry Wind Speeds.
Remote. Sens., 2019

State and Parameter Estimation from Observed Signal Increments.
Entropy, 2019

Fokker-Planck particle systems for Bayesian inference: Computational approaches.
CoRR, 2019

Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart.
CoRR, 2019

Data assimilation: The Schrödinger perspective.
Acta Numer., 2019

Evolving Ocean Monitoring With GNSS-R: Promises in Surface Wind Speed and Prospects for Rain Detection.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

TDS-1 GNSS Reflectometry: Development and Validation of Forward Scattering Winds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Long-Time Stability and Accuracy of the Ensemble Kalman-Bucy Filter for Fully Observed Processes and Small Measurement Noise.
SIAM J. Appl. Dyn. Syst., 2018

Second-order Accurate Ensemble Transform Particle Filters.
SIAM J. Sci. Comput., 2017

Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem.
CoRR, 2017

Multilevel Ensemble Transform Particle Filtering.
SIAM J. Sci. Comput., 2016

A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems.
SIAM/ASA J. Uncertain. Quantification, 2016

Multiple-time-stepping generalized hybrid Monte Carlo methods.
J. Comput. Phys., 2015

A Nonparametric Ensemble Transform Method for Bayesian Inference.
SIAM J. Sci. Comput., 2013

Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations.
Proceedings of the International Conference on Computational Science, 2011

A multigrid solver for modeling complex interseismic stress fields.
Comput. Geosci., 2011

LBB stability of a mixed Galerkin finite element pair for fluid flow simulations.
J. Comput. Phys., 2009

Erratum to "A comparison of generalized hybrid Monte Carlo methods with and without momentum flip" [J. Comput. Phys 228 (2009) 2256-2265].
J. Comput. Phys., 2009

A comparison of generalized hybrid Monte Carlo methods with and without momentum flip.
J. Comput. Phys., 2009

GSHMC: An efficient method for molecular simulation.
J. Comput. Phys., 2008

Linear PDEs and Numerical Methods That Preserve a Multisymplectic Conservation Law.
SIAM J. Sci. Comput., 2006

Semigeostrophic Particle Motion and Exponentially Accurate Normal forms.
Multiscale Model. Simul., 2006

Hamiltonian Particle-Mesh Method for Two-Layer Shallow-Water Equations Subject to the Rigid-Lid Approximation.
SIAM J. Appl. Dyn. Syst., 2004

Erratum to: "Multi-symplectic integration methods for Hamiltonian PDEs" [Future Gen. Comput. Sys. 19 (2003) 395-402]
Future Gener. Comput. Syst., 2004

Backward error analysis for multi-symplectic integration methods.
Numerische Mathematik, 2003

Multi-symplectic integration methods for Hamiltonian PDEs.
Future Gener. Comput. Syst., 2003

A Time-Reversible Variable-Stepsize Integrator for Constrained Dynamics.
SIAM J. Sci. Comput., 1999

The Midpoint Scheme and Variants for Hamiltonian Systems: Advantages and Pitfalls.
SIAM J. Sci. Comput., 1999

Symplectic Multiple-Time-Stepping Integrators for Quantum-Classical Molecular Dynamics.
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999

On Some Difficulties in Integrating Highly Oscillatory Hamiltonian Systems.
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999

Modified potential energy functions for constrained molecular dynamics.
Numer. Algorithms, 1998