Michael Herty | DeepAI

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Lorenzo Pareschi
31 publications
Tan Bui-Thanh
19 publications
Uwe Naumann
14 publications
Simone Göttlich
14 publications
Maria Lukacova-Medvidova
13 publications
Giacomo Albi
9 publications
Alexander Kurganov
9 publications
Anand Subramoney
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Abigail Morrison
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Elisa Iacomini
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Niklas Kolbe
7 publications

∙ 08/02/2023

A data-driven microscopic on-ramp model based on macroscopic network flows

While macroscopic traffic flow models consider traffic as a fluid, micro...

0 Niklas Kolbe, et al. ∙

∙ 04/27/2023

A central scheme for coupled hyperbolic systems

A novel numerical scheme to solve coupled systems of conservation laws i...

0 Michael Herty, et al. ∙

∙ 12/17/2022

Data-Driven Models for Traffic Flow at Junctions

Traffic flow on networks requires knowledge on the behavior across traff...

0 Michael Herty, et al. ∙

∙ 10/04/2022

Robust feedback stabilization of interacting multi-agent systems under uncertainty

We consider control strategies for large-scale interacting agent systems...

0 Giacomo Albi, et al. ∙

∙ 09/12/2022

Central schemes for networked scalar conservation laws

We propose a novel scheme to numerically solve scalar conservation laws ...

0 Michael Herty, et al. ∙

∙ 06/17/2022

Local Characteristic Decomposition Based Central-Upwind Scheme

We propose novel less diffusive schemes for conservative one- and two-di...

0 Alina Chertock, et al. ∙

∙ 04/05/2022

Recent Trends on Nonlinear Filtering for Inverse Problems

Among the class of nonlinear particle filtering methods, the Ensemble Ka...

0 Michael Herty, et al. ∙

∙ 03/22/2022

Multiresolution-analysis for stochastic hyperbolic conservation laws

A multiresolution analysis for solving stochastic conservation laws is p...

0 Michael Herty, et al. ∙

∙ 03/18/2022

Filtering methods for coupled inverse problems

We are interested in ensemble methods to solve multi-objective optimizat...

0 Michael Herty, et al. ∙

∙ 03/14/2022

Probabilistic Constrained Bayesion Inversion for Transpiration Cooling

To enable safe operations in applications such as rocket combustion cham...

0 Ella Steins, et al. ∙

∙ 02/28/2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn

Neuroscience models commonly have a high number of degrees of freedom an...

11 Alper Yegenoglu, et al. ∙

∙ 10/15/2021

Description of random level sets by polynomial chaos expansions

We present a novel approach to determine the evolution of level sets und...

0 Markus Bambach, et al. ∙

∙ 08/17/2021

Uncertainty Quantification in Hierarchical Vehicular Flow Models

We consider kinetic vehicular traffic flow models of BGK type. Consideri...

0 Michael Herty, et al. ∙

∙ 04/30/2021

Model-Order Reduction For Hyperbolic Relaxation Systems

We propose a novel framework for model-order reduction of hyperbolic dif...

0 Sara Grundel, et al. ∙

∙ 02/18/2021

Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation

We investigate the propagation of uncertainties in the Aw-Rascle-Zhang m...

0 Stephan Gerster, et al. ∙

∙ 11/06/2020

Input-to-state stability of a scalar conservation law with nonlocal velocity

In this paper, we study input-to-state stability (ISS) of an equilibrium...

0 Simone Göttlich, et al. ∙

∙ 10/05/2020

Modeling, Control and Numerics of Gas Networks

In this article we survey recent progress on mathematical results on gas...

0 Martin Gugat, et al. ∙

∙ 07/10/2020

Algorithmic differentiation of hyperbolic flow problems

We are interested in the development of an algorithmic differentiation f...

0 Michael Herty, et al. ∙

∙ 06/27/2020

A Stabilization of a Continuous Limit of the Ensemble Kalman Filter

The ensemble Kalman filter belongs to the class of iterative particle fi...

0 Dieter Armbruster, et al. ∙

∙ 05/25/2020

Hyperbolic Discretization via Riemann Invariants

We are interested in numerical schemes for the simulation of large scale...

0 Sara Grundel, et al. ∙

∙ 05/25/2020

Second-order traffic flow models on networks

This paper deals with the Aw-Rascle-Zhang model for traffic flow on uni-...

0 Simone Göttlich, et al. ∙

∙ 05/11/2020

Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship

The heterogeneous microstructure in metallic components results in local...

0 Christian Gebhardt, et al. ∙

∙ 12/18/2019

Continuous Limits for Constrained Ensemble Kalman Filter

The Ensemble Kalman Filter method can be used as an iterative particle n...

0 Michael Herty, et al. ∙

∙ 07/08/2019

Mean field models for large data-clustering problems

We consider mean-field models for data--clustering problems starting fro...

0 Lorenzo Pareschi, et al. ∙

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