Christof Schütte

Orcid: 0000-0001-5232-2683

According to our database1, Christof Schütte authored at least 71 papers between 1993 and 2023.

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

Timeline

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Bibliography

2023
Novel multi-objective affinity approach allows to identify pH-specific μ-opioid receptor agonists.
J. Cheminformatics, December, 2023

Optimal Reaction Coordinates: Variational Characterization and Sparse Computation.
Multiscale Model. Simul., June, 2023

Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning.
Acta Numer., May, 2023

A Route to the Hydrodynamic Limit of a Reaction-Diffusion Master Equation Using Gradient Structures.
SIAM J. Appl. Math., April, 2023

Neural parameter calibration and uncertainty quantification for epidemic forecasting.
CoRR, 2023

Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics.
CoRR, 2023

On the Activation Space of ReLU equipped Deep Neural Networks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence.
J. Mach. Learn. Res., 2022

Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks.
J. Comput. Phys., 2022

Understanding the romanization spreading on historical interregional networks in Northern Tunisia.
Appl. Netw. Sci., 2022

2021
Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments.
Patterns, 2021

Coupling Particle-Based Reaction-Diffusion Simulations with Reservoirs Mediated by Reaction-Diffusion PDEs.
Multiscale Model. Simul., 2021

Feature space approximation for kernel-based supervised learning.
Knowl. Based Syst., 2021

Memory-Based Reduced Modelling and Data-Based Estimation of Opinion Spreading.
J. Nonlinear Sci., 2021

Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds.
J. Nonlinear Sci., 2021

2020
Extending Transition Path Theory: Periodically Driven and Finite-Time Dynamics.
J. Nonlinear Sci., 2020

2019
Learning Chemical Reaction Networks from Trajectory Data.
SIAM J. Appl. Dyn. Syst., 2019

2018
A Multiscale Perturbation Expansion Approach for Markov State Modeling of Nonstationary Molecular Dynamics.
Multiscale Model. Simul., 2018

Data-Driven Model Reduction and Transfer Operator Approximation.
J. Nonlinear Sci., 2018

Transition Manifolds of Complex Metastable Systems - Theory and Data-Driven Computation of Effective Dynamics.
J. Nonlinear Sci., 2018

Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach.
EPJ Data Sci., 2018

Molecular Dynamics vs. Stochastic Processes: Are We Heading Anywhere?
Entropy, 2018

A kernel-based approach to molecular conformation analysis.
CoRR, 2018

Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics.
Comput., 2018

2017
Nearest-neighbor interaction systems in the tensor-train format.
J. Comput. Phys., 2017

Reliable Approximation of Long Relaxation Timescales in Molecular Dynamics.
Entropy, 2017

Variational Characterization of Free Energy: Theory and Algorithms.
Entropy, 2017

Simulation, identification and statistical variation in cardiovascular analysis (SISCA) - A software framework for multi-compartment lumped modeling.
Comput. Biol. Medicine, 2017

Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.
BMC Bioinform., 2017

2016
Finding Dominant Structures of Nonreversible Markov Processes.
Multiscale Model. Simul., 2016

Solving the master equation without kinetic Monte Carlo: Tensor train approximations for a CO oxidation model.
J. Comput. Phys., 2016

2015
Logical-continuous modelling of post-translationally regulated bistability of curli fiber expression in Escherichia coli.
BMC Syst. Biol., 2015

Solution of the chemical master equation by radial basis functions approximation with interface tracking.
BMC Syst. Biol., 2015

2014
Applications of the Cross-Entropy Method to Importance Sampling and Optimal Control of Diffusions.
SIAM J. Sci. Comput., 2014

Markov State Models for Rare Events in Molecular Dynamics.
Entropy, 2014

Characterization of Rare Events in Molecular Dynamics.
Entropy, 2014

Modularity of Directed Networks: Cycle Decomposition Approach.
CoRR, 2014

Loop-based Module Detection in Directed Networks.
CoRR, 2014

2012
HIV-1 Polymerase Inhibition by Nucleoside Analogs: Cellular- and Kinetic Parameters of Efficacy, Susceptibility and Resistance Selection.
PLoS Comput. Biol., 2012

Optimal control of molecular dynamics using Markov state models.
Math. Program., 2012

Hybrid Stochastic-Deterministic Solution of the Chemical Master Equation.
Multiscale Model. Simul., 2012

Sequential Change Point Detection in Molecular Dynamics Trajectories.
Multiscale Model. Simul., 2012

Estimating the Eigenvalue Error of Markov State Models.
Multiscale Model. Simul., 2012

2010
Sparse non-Gaussian component analysis.
IEEE Trans. Inf. Theory, 2010

Free energy computation by controlled Langevin dynamics.
Proceedings of the International Conference on Computational Science, 2010

Optimal Fuzzy Aggregation of Networks.
Multiscale Model. Simul., 2010

On the Approximation Quality of Markov State Models.
Multiscale Model. Simul., 2010

Balanced Truncation of Linear Second-Order Systems: A Hamiltonian Approach.
Multiscale Model. Simul., 2010

2009
On Metastable Conformational Analysis of Nonequilibrium Biomolecular Time Series.
Multiscale Model. Simul., 2009

2008
Macroscopic Dynamics of Complex Metastable Systems: Theory, Algorithms, and Application to B-DNA.
SIAM J. Appl. Dyn. Syst., 2008

Transition Path Theory for Markov Jump Processes.
Multiscale Model. Simul., 2008

Likelihood-Based Estimation of Multidimensional Langevin Models and Its Application to Biomolecular Dynamics.
Multiscale Model. Simul., 2008

Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis.
Multiscale Model. Simul., 2008

Balancing of partially-observed stochastic differential equations.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Generator estimation of Markov jump processes.
J. Comput. Phys., 2007

Discrimination of dynamical system models for biological and chemical processes.
J. Comput. Chem., 2007

Identification of biomolecular conformations from incomplete torsion angle observations by hidden markov models.
J. Comput. Chem., 2007

2006
Automated Model Reduction for Complex Systems Exhibiting Metastability.
Multiscale Model. Simul., 2006

Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models.
Proceedings of the Computational Life Sciences II, 2006

Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level.
Proceedings of the Computational Life Sciences II, 2006

2005
Adaptive approach for nonlinear sensitivity analysis of reaction kinetics.
J. Comput. Chem., 2005

2004
An Averaging Principle for Fast Degrees of Freedom Exhibiting Long-Term Correlations.
Multiscale Model. Simul., 2004

1999
On the Singular Limit of the Quantum-Classical Molecular Dynamics Model.
SIAM J. Appl. Math., 1999

Adaptive accuracy control for Car-Parrinello simulations.
Numerische Mathematik, 1999

From simulation data to conformational ensembles: Structure and dynamics-based methods.
J. Comput. Chem., 1999

Approximation Properties and Limits of the Quantum-Classical Molecular Dynamics Model.
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999

Numerical Integrators for Quantum-Classical Molecular Dynamics.
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999

Computation of Essential Molecular Dynamics by Subdivision Techniques.
Proceedings of the Computational Molecular Dynamics: Challenges, Methods, Ideas, 1999

1998
Hybrid Monte Carlo with adaptive temperature in mixed-canonical ensemble: Efficient conformational analysis of RNA.
J. Comput. Chem., 1998

1993
A Quasiresonant Smoothing Algorithm for the Fast Analysis of Selective Vibrational Excitation.
IMPACT Comput. Sci. Eng., 1993


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