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Sebastian Reich

Sebastian Reich

D-Index & Metrics

Mathematics

D-Index
48
Citations
10901
World Ranking
1197
National Ranking
65

Research.com Recognitions

  • 2019 - SIAM Fellow For incisive contributions to the field of computational differential equations, and applications in molecular dynamics and data assimilation.

Overview

Sebastian Reich is affiliated with the University of Potsdam in Germany. Their primary field of study centers on Computer Science, encompassing a broad range of subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Global and Planetary Change, Statistics and Probability, and Computer Vision and Pattern Recognition.

The scientist's research covers several main topics such as Gaussian Processes and Bayesian Inference, Markov Chains and Monte Carlo Methods, Meteorological Phenomena and Simulations, Model Reduction and Neural Networks, Reservoir Engineering and Simulation Methods, Target Tracking and Data Fusion in Sensor Networks, and Climate variability and models.

Recent publications by Sebastian Reich include:

  • Sequential Data Assimilation of the Stochastic SEIR Epidemic Model for Regional COVID-19 Dynamics, 2020, Bulletin of Mathematical Biology
  • Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation, 2021, Physica D Nonlinear Phenomena
  • Interacting Particle Solutions of Fokker-Planck Equations Through Gradient-Log-Density Estimation, 2020, Entropy
  • Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations, 2021, Chaos An Interdisciplinary Journal of Nonlinear Science
  • Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning, 2023, Chaos An Interdisciplinary Journal of Nonlinear Science

Frequent co-authors they have collaborated with include:

  • Ralf Engbert
  • Manfred Opper
  • Maximilian M. Rabe
  • Georg A. Gottwald
  • Lisa Schwetlick

Publication venues where Sebastian Reich has frequently contributed consist of:

  • arXiv (Cornell University)
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SIAM Journal on Numerical Analysis
  • Trends in Cognitive Sciences

In recognition of their work in computational differential equations and applications in molecular dynamics and data assimilation, Sebastian Reich was awarded the title of SIAM Fellow in 2019.

Best Publications

  • Simulating Hamiltonian Dynamics

    Benedict J Leimkuhler;Sebastian Reich

  • Multi-symplectic integrators: numerical schemes for Hamiltonian PDEs that conserve symplecticity

    Thomas J. Bridges;Sebastian Reich

  • Multi-Symplectic Runge—Kutta Collocation Methods for Hamiltonian Wave Equations

    Sebastian Reich

  • Probabilistic forecasting and Bayesian data assimilation

    Sebastian Reich;Colin Cotter

  • Backward Error Analysis for Numerical Integrators

    Sebastian Reich

  • Computational Molecular Dynamics: Challenges, Methods, Ideas

    Peter Deuflhard;Jan Hermans;Benedict Leimkuhler;Alan E. Mark

  • Stabilization of Constrained Mechanical Systems with DAEs and Invariant Manifolds

    Uri M. Ascher;Hongsheng Chin;Linda R. Petzold;Sebastian Reich

  • Particle filters for high-dimensional geoscience applications: A review

    Peter Jan van Leeuwen;Peter Jan van Leeuwen;Hans R Künsch;Lars Nerger;Roland Potthast

  • Numerical methods for Hamiltonian PDEs

    Thomas J Bridges;Sebastian Reich

  • Stabilization of DAEs and invariant manifolds

    Uri M. Ascher;Hongsheng Chin;Sebastian Reich

  • A NONPARAMETRIC ENSEMBLE TRANSFORM METHOD FOR BAYESIAN INFERENCE

    Sebastian Reich

  • Integration Methods for Molecular Dynamics

    Benedict J. Leimkuhler;Sebastian Reich;Robert D. Skeel

  • Backward error analysis for multi-symplectic integration methods

    Brian Moore;Sebastian Reich

  • Multi-symplectic spectral discretizations for the Zakharov–Kuznetsov and shallow water equations

    Thomas J. Bridges;Sebastian Reich

  • A dynamical systems framework for intermittent data assimilation

    Sebastian Reich

  • On a geometrical interpretation of differential-algebraic equations

    Sebastian Reich

  • On an existence and uniqueness theory for nonlinear differential-algebraic equations

    Sebastian Reich

  • Sequential Data Assimilation of the Stochastic SEIR Epidemic Model for Regional COVID-19 Dynamics.

    Ralf Engbert;Maximilian M. Rabe;Reinhold Kliegl;Sebastian Reich

  • Symplectic integration of constrained Hamiltonian systems

    B. Leimkuhler;S. Reich

  • A mollified ensemble Kalman filter

    Kay Bergemann;Sebastian Reich

  • A non-parametric ensemble transform method for Bayesian inference

    Sebastian Reich

Frequent Co-Authors

Benedict Leimkuhler
Benedict Leimkuhler University of Edinburgh
Jens Wickert
Jens Wickert Technical University of Berlin
Manfred Opper
Manfred Opper Technical University of Berlin
Robert D. Skeel
Robert D. Skeel Purdue University West Lafayette
Volker Grewe
Volker Grewe German Aerospace Center
Uri M. Ascher
Uri M. Ascher University of British Columbia
Andrea Stenke
Andrea Stenke ETH Zurich
Theodore G. Shepherd
Theodore G. Shepherd University of Reading
Ulrich Cubasch
Ulrich Cubasch Freie Universität Berlin
Eugenia Kalnay
Eugenia Kalnay University of Maryland, College Park

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