Sebastian Reich
Orcid: 0000-0002-5336-8904
According to our database1,
Sebastian Reich
authored at least 62 papers
between 1998 and 2024.
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Bibliography
2024
SIAM J. Sci. Comput., 2024
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows.
CoRR, 2024
CoRR, 2024
2023
Found. Comput. Math., April, 2023
CoRR, 2023
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in ReLU Networks.
CoRR, 2023
CoRR, 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance.
CoRR, 2023
2022
GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model.
Stat. Comput., 2022
CoRR, 2022
Frequentist perspective on robust parameter estimation using the ensemble Kalman filter.
CoRR, 2022
2021
Spectral Convergence of Diffusion Maps: Improved Error Bounds and an Alternative Normalization.
SIAM J. Numer. Anal., 2021
SIAM/ASA J. Uncertain. Quantification, 2021
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations.
CoRR, 2021
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.
CoRR, 2021
2020
SIAM J. Sci. Comput., 2020
SIAM J. Appl. Dyn. Syst., 2020
PLoS Comput. Biol., 2020
IEEE Geosci. Remote. Sens. Lett., 2020
Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation.
Entropy, 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
2019
Remote. Sens., 2019
Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart.
CoRR, 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
2018
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
2017
SIAM J. Sci. Comput., 2017
Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem.
CoRR, 2017
2016
A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems.
SIAM/ASA J. Uncertain. Quantification, 2016
2015
J. Comput. Phys., 2015
2013
SIAM J. Sci. Comput., 2013
2011
Proceedings of the International Conference on Computational Science, 2011
Comput. Geosci., 2011
2009
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
2008
2006
SIAM J. Sci. Comput., 2006
Multiscale Model. Simul., 2006
2004
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
2003
Numerische Mathematik, 2003
Future Gener. Comput. Syst., 2003
1999
SIAM J. Sci. Comput., 1999
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
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999
1998
Numer. Algorithms, 1998