no code implementations • 16 May 2024 • Jan Friedrich, Sarah Schraven, Fabian Kiessling, Michael Herty
To model the light propagation in the resulting inverse problem the radiative transfer equation is approximated by using hierarchical simplified moment approximations.
no code implementations • 23 Feb 2024 • Giacomo Albi, Sara Bicego, Michael Herty, YuYang Huang, Dante Kalise, Chiara Segala
The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast online dynamic optimization at every time step.
no code implementations • 11 Dec 2023 • Christian Fiedler, Michael Herty, Sebastian Trimpe
Mean field limits are an important tool in the context of large-scale dynamical systems, in particular, when studying multiagent and interacting particle systems.
no code implementations • 27 Oct 2023 • Christian Fiedler, Michael Herty, Sebastian Trimpe
In many applications of machine learning, a large number of variables are considered.
no code implementations • 28 Feb 2023 • Christian Fiedler, Michael Herty, Michael Rom, Chiara Segala, Sebastian Trimpe
Kernel methods, being supported by a well-developed theory and coming with efficient algorithms, are among the most popular and successful machine learning techniques.
no code implementations • 28 Feb 2022 • Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier
Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest.
no code implementations • 18 Feb 2021 • Stephan Gerster, Michael Herty, Elisa Iacomini
We investigate the propagation of uncertainties in the Aw-Rascle-Zhang model, which belongs to a class of second order traffic flow models described by a system of nonlinear hyperbolic equations.
Numerical Analysis Numerical Analysis 35L65, 90B20, 35R60