Picture for Christof Schütte

Christof Schütte

Neural parameter calibration and uncertainty quantification for epidemic forecasting

Add code
Dec 05, 2023
Viaarxiv icon

Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics

Add code
Jul 01, 2023
Viaarxiv icon

Impact Study of Numerical Discretization Accuracy on Parameter Reconstructions and Model Parameter Distributions

Add code
May 04, 2023
Viaarxiv icon

Data-driven modelling of nonlinear dynamics by polytope projections and memory

Add code
Dec 13, 2021
Figure 1 for Data-driven modelling of nonlinear dynamics by polytope projections and memory
Figure 2 for Data-driven modelling of nonlinear dynamics by polytope projections and memory
Figure 3 for Data-driven modelling of nonlinear dynamics by polytope projections and memory
Figure 4 for Data-driven modelling of nonlinear dynamics by polytope projections and memory
Viaarxiv icon

Data-driven model reduction of agent-based systems using the Koopman generator

Add code
Dec 14, 2020
Figure 1 for Data-driven model reduction of agent-based systems using the Koopman generator
Figure 2 for Data-driven model reduction of agent-based systems using the Koopman generator
Figure 3 for Data-driven model reduction of agent-based systems using the Koopman generator
Figure 4 for Data-driven model reduction of agent-based systems using the Koopman generator
Viaarxiv icon

Feature space approximation for kernel-based supervised learning

Add code
Nov 25, 2020
Figure 1 for Feature space approximation for kernel-based supervised learning
Figure 2 for Feature space approximation for kernel-based supervised learning
Figure 3 for Feature space approximation for kernel-based supervised learning
Figure 4 for Feature space approximation for kernel-based supervised learning
Viaarxiv icon

Kernel autocovariance operators of stationary processes: Estimation and convergence

Add code
Apr 02, 2020
Viaarxiv icon

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Add code
Sep 23, 2019
Figure 1 for Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Figure 2 for Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Figure 3 for Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Figure 4 for Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Viaarxiv icon

A kernel-based method for coarse graining complex dynamical systems

Add code
Apr 18, 2019
Figure 1 for A kernel-based method for coarse graining complex dynamical systems
Figure 2 for A kernel-based method for coarse graining complex dynamical systems
Figure 3 for A kernel-based method for coarse graining complex dynamical systems
Figure 4 for A kernel-based method for coarse graining complex dynamical systems
Viaarxiv icon

A kernel-based approach to molecular conformation analysis

Add code
Sep 28, 2018
Figure 1 for A kernel-based approach to molecular conformation analysis
Figure 2 for A kernel-based approach to molecular conformation analysis
Figure 3 for A kernel-based approach to molecular conformation analysis
Figure 4 for A kernel-based approach to molecular conformation analysis
Viaarxiv icon