Modified potential energy functions for constrained molecular dynamics. - Sebastian Reich (Numer. Algorithms, 1998)

On Some Difficulties in Integrating Highly Oscillatory Hamiltonian Systems. - Uri M. Ascher; Sebastian Reich (Computational Molecular Dynamics, 1999)

Symplectic Multiple-Time-Stepping Integrators for Quantum-Classical Molecular Dynamics. - Peter Nettesheim; Sebastian Reich (Computational Molecular Dynamics, 1999)

The Midpoint Scheme and Variants for Hamiltonian Systems: Advantages and Pitfalls. - Uri M. Ascher; Sebastian Reich (SIAM J. Sci. Comput., 1999)

A Time-Reversible Variable-Stepsize Integrator for Constrained Dynamics. - Eric Barth; Benedict J. Leimkuhler; Sebastian Reich (SIAM J. Sci. Comput., 1999)

Multi-symplectic integration methods for Hamiltonian PDEs. - Brian E. Moore; Sebastian Reich (Future Gener. Comput. Syst., 2003)

Backward error analysis for multi-symplectic integration methods. - Brian E. Moore; Sebastian Reich (Numerische Mathematik, 2003)

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

Hamiltonian Particle-Mesh Method for Two-Layer Shallow-Water Equations Subject to the Rigid-Lid Approximation. - Colin J. Cotter; Jason Frank; Sebastian Reich (SIAM J. Appl. Dyn. Syst., 2004)

Semigeostrophic Particle Motion and Exponentially Accurate Normal forms. - Colin J. Cotter; Sebastian Reich (Multiscale Model. Simul., 2006)

Linear PDEs and Numerical Methods That Preserve a Multisymplectic Conservation Law. - Jason Frank; Brian E. Moore; Sebastian Reich (SIAM J. Sci. Comput., 2006)

GSHMC: An efficient method for molecular simulation. - Elena V. Akhmatskaya; Sebastian Reich (J. Comput. Phys., 2008)

A comparison of generalized hybrid Monte Carlo methods with and without momentum flip. - Elena V. Akhmatskaya; Nawaf Bou-Rabee; Sebastian Reich (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]. - Elena V. Akhmatskaya; Nawaf Bou-Rabee; Sebastian Reich (J. Comput. Phys., 2009)

LBB stability of a mixed Galerkin finite element pair for fluid flow simulations. - Colin J. Cotter; David A. Ham; Christopher C. Pain; Sebastian Reich (J. Comput. Phys., 2009)

A multigrid solver for modeling complex interseismic stress fields. - Seoleun Shin; Gert Zöller; Matthias Holschneider; Sebastian Reich (Comput. Geosci., 2011)

Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations. - Elena V. Akhmatskaya; Sebastian Reich (ICCS, 2011)

A Nonparametric Ensemble Transform Method for Bayesian Inference. - Sebastian Reich (SIAM J. Sci. Comput., 2013)

Multiple-time-stepping generalized hybrid Monte Carlo methods. - Bruno Escribano; Elena V. Akhmatskaya; Sebastian Reich; Jon Azpiroz (J. Comput. Phys., 2015)

A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems. - Nawinda Chustagulprom; Sebastian Reich; Maria Reinhardt (SIAM/ASA J. Uncertain. Quantification, 2016)

Multilevel Ensemble Transform Particle Filtering. - Alastair Gregory; Colin J. Cotter; Sebastian Reich (SIAM J. Sci. Comput., 2016)

Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. - Amirhossein Taghvaei; Jana de Wiljes; Prashant G. Mehta; Sebastian Reich (CoRR, 2017)

Second-order Accurate Ensemble Transform Particle Filters. - Walter Acevedo; Jana de Wiljes; Sebastian Reich (SIAM J. Sci. Comput., 2017)

Long-Time Stability and Accuracy of the Ensemble Kalman-Bucy Filter for Fully Observed Processes and Small Measurement Noise. - Jana de Wiljes; Sebastian Reich; Wilhelm Stannat (SIAM J. Appl. Dyn. Syst., 2018)

TDS-1 GNSS Reflectometry: Development and Validation of Forward Scattering Winds. - Milad Asgarimehr; Jens Wickert; Sebastian Reich (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Evolving Ocean Monitoring With GNSS-R: Promises in Surface Wind Speed and Prospects for Rain Detection. - Milad Asgarimehr; Valery U. Zavorotny; Irina Zhelavskaya; Giuseppe Foti; Jens Wickert; Sebastian Reich (IGARSS, 2019)

Data assimilation: The Schrödinger perspective. - Sebastian Reich (Acta Numer., 2019)

Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart. - Nikolas Nüsken; Sebastian Reich (CoRR, 2019)

State and Parameter Estimation from Observed Signal Increments. - Nikolas Nüsken; Sebastian Reich; Paul J. Rozdeba (Entropy, 2019)

Evaluating Impact of Rain Attenuation on Space-borne GNSS Reflectometry Wind Speeds. - Milad Asgarimehr; Jens Wickert; Sebastian Reich (Remote. Sens., 2019)

Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation. - Caroline L. Wormell; Sebastian Reich (CoRR, 2020)

Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation. - Georg A. Gottwald; Sebastian Reich (CoRR, 2020)

Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation. - Dimitra Maoutsa; Sebastian Reich; Manfred Opper (Entropy, 2020)

A GNSS-R Geophysical Model Function: Machine Learning for Wind Speed Retrievals. - Milad Asgarimehr; Irina Zhelavskaya; Giuseppe Foti; Sebastian Reich; Jens Wickert (IEEE Geosci. Remote. Sens. Lett., 2020)

A mathematical model of local and global attention in natural scene viewing. - Noa Malem-Shinitski; Manfred Opper; Sebastian Reich; Lisa Schwetlick; Stefan A. Seelig; Ralf Engbert (PLoS Comput. Biol., 2020)

Affine Invariant Interacting Langevin Dynamics for Bayesian Inference. - Alfredo Garbuno-Inigo; Nikolas Nüsken; Sebastian Reich (SIAM J. Appl. Dyn. Syst., 2020)

Ensemble Transform Algorithms for Nonlinear Smoothing Problems. - Jana de Wiljes; Sahani Pathiraja; Sebastian Reich (SIAM J. Sci. Comput., 2020)

Randomised maximum likelihood based posterior sampling. - Yuming Ba; Jana de Wiljes; Dean S. Oliver; Sebastian Reich (CoRR, 2021)

Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. - Felix Dietrich; Alexei Makeev; George Kevrekidis; Nikolaos Evangelou; Tom Bertalan; Sebastian Reich; Ioannis G. Kevrekidis (CoRR, 2021)

Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations. - Georg A. Gottwald; Sebastian Reich (CoRR, 2021)

Fokker-Planck Particle Systems for Bayesian Inference: Computational Approaches. - Sebastian Reich; Simon Weissmann (SIAM/ASA J. Uncertain. Quantification, 2021)

McKean-Vlasov SDEs in Nonlinear Filtering. - Sahani Pathiraja; Sebastian Reich; Wilhelm Stannat (SIAM J. Control. Optim., 2021)

Spectral Convergence of Diffusion Maps: Improved Error Bounds and an Alternative Normalization. - Caroline L. Wormell; Sebastian Reich (SIAM J. Numer. Anal., 2021)

Frequentist perspective on robust parameter estimation using the ensemble Kalman filter. - Sebastian Reich (CoRR, 2022)

Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems. - Daniel Zhengyu Huang; Jiaoyang Huang; Sebastian Reich; Andrew M. Stuart (CoRR, 2022)

Data assimilation: A dynamic homotopy-based coupling approach. - Sebastian Reich (CoRR, 2022)

GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model. - Christian Molkenthin; Christian Donner; Sebastian Reich; Gert Zöller; Sebastian Hainzl; Matthias Holschneider; Manfred Opper (Stat. Comput., 2022)

Infinite-Dimensional Diffusion Models for Function Spaces. - Jakiw Pidstrigach; Youssef M. Marzouk; Sebastian Reich; Sven Wang (CoRR, 2023)

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance. - Yifan Chen; Daniel Zhengyu Huang; Jiaoyang Huang; Sebastian Reich; Andrew M. Stuart (CoRR, 2023)

On forward-backward SDE approaches to continuous-time minimum variance estimation. - Jin Won Kim; Sebastian Reich (CoRR, 2023)

Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in ReLU Networks. - Diksha Bhandari; Jakiw Pidstrigach; Sebastian Reich (CoRR, 2023)

Sampling via Gradient Flows in the Space of Probability Measures. - Yifan Chen; Daniel Zhengyu Huang; Jiaoyang Huang; Sebastian Reich; Andrew M. Stuart (CoRR, 2023)

An EnKF-based algorithm for stochastic optimal control. - Sebastian Reich (CoRR, 2023)

Filtered data based estimators for stochastic processes driven by colored noise. - Grigorios A. Pavliotis; Sebastian Reich; Andrea Zanoni (CoRR, 2023)

Affine-Invariant Ensemble Transform Methods for Logistic Regression. - Jakiw Pidstrigach; Sebastian Reich (Found. Comput. Math., 2023)

Stable generative modeling using diffusion maps. - Georg A. Gottwald; Fengyi Li; Youssef M. Marzouk; Sebastian Reich (CoRR, 2024)

Robust parameter estimation for partially observed second-order diffusion processes. - Jan Albrecht; Sebastian Reich (CoRR, 2024)

Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows. - Yifan Chen; Daniel Zhengyu Huang; Jiaoyang Huang; Sebastian Reich; Andrew M. Stuart (CoRR, 2024)

Localized Schrödinger Bridge Sampler. - Georg A. Gottwald; Sebastian Reich (CoRR, 2024)

EnKSGD: A Class of Preconditioned Black Box Optimization and Inversion Algorithms. - Brian Irwin; Sebastian Reich (SIAM J. Sci. Comput., 2024)

Tweedie Moment Projected Diffusions for Inverse Problems. - Benjamin Boys; Mark Girolami; Jakiw Pidstrigach; Sebastian Reich; Alan Mosca; Ömer Deniz Akyildiz (Trans. Mach. Learn. Res., 2024)

Ensemble Kalman methods: A mean-field perspective. - Edoardo Calvello; Sebastian Reich; Andrew M. Stuart (Acta Numer., 2025)

Dropout Ensemble Kalman Inversion for High Dimensional Inverse Problems. - Shuigen Liu; Sebastian Reich; Xin T. Tong (SIAM J. Numer. Anal., 2025)

Ensemble Kalman-Bucy filtering for nonlinear model predictive control. - Sebastian Reich (CoRR, 2025)

Bayesian Dynamical Modeling of Fixational Eye Movements. - Lisa Schwetlick; Sebastian Reich; Ralf Engbert (Biol. Cybern., 2025)

Ensemble Kalman filter for uncertainty in human language comprehension. - Diksha Bhandari; Alessandro Lopopolo; Milena Rabovsky; Sebastian Reich (CoRR, 2025)

Localized Diffusion Models for High Dimensional Distributions Generation. - Georg A. Gottwald; Shuigen Liu; Youssef Marzouk 001; Sebastian Reich; Xin T. Tong (CoRR, 2025)

On a mean-field Pontryagin minimum principle for stochastic optimal control. - Manfred Opper; Sebastian Reich (CoRR, 2025)