Filter and export

Publications

What is a Publication?
1699 Publications visible to you, out of a total of 1699
Scalable stellar evolution forecasting. Deep learning emulation versus hierarchical nearest-neighbor interpolation

Abstract

Not specified

Authors: K. Maltsev, F. R. N. Schneider, F. K. Röpke, A. I. Jordan, G. A. Qadir, W. E. Kerzendorf, K. Riedmiller, P. van der Smagt

Date Published: 2024

Publication Type: Journal

Self-consistent magnetohydrodynamic simulation of jet launching in a neutron star - white dwarf merger

Abstract

Not specified

Authors: Javier Morán-Fraile, Friedrich K. Röpke, Rüdiger Pakmor, Miguel A. Aloy, Sebastian T. Ohlmann, Fabian R. N. Schneider, Giovanni Leidi, Georgios Lioutas

Date Published: 2024

Publication Type: Journal

Graph Neural Networks for Individual Treatment Effect Estimation

Abstract

Not specified

Authors: Andrei Sirazitdinov, Marcus Buchwald, Vincent Heuveline, Jürgen Hesser

Date Published: 2024

Publication Type: Journal

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts

Abstract

Not specified

Authors: Moritz Feik, Sebastian Lerch, Jan Stühmer

Date Published: 2024

Publication Type: InProceedings

Going from 3D Common-envelope Simulations to Fast 1D Simulations

Abstract

Not specified

Authors: V. A. Bronner, F. R. N. Schneider, Ph. Podsiadlowski, F. K. Röpke

Date Published: 2024

Publication Type: Journal

Automatic miscalibration diagnosis: Interpreting probability integral transform (PIT) histograms

Abstract

Not specified

Authors: Ondřej Podsztavek, Alexander I. Jordan, Pavel Tvrdík, Kai L. Polsterer

Date Published: 2024

Publication Type: Journal

Data Formats for Systems Biology, Systems Medicine and Computational Modeling

Abstract (Expand)

In systems biology and systems medicine data of many different types and obtained from manifold methods are used to set up computational models for simulations and predictions. These data need to be … interoperable to integrate them into the models or use them for model validation. To achieve this, standards are crucial for structuring, describing, and associating models and data, as well as their respective parts, graphical visualization, and information about applied experimental or computational methods. Such standards also assist with describing how constituent parts interact together, or are linked, and how they are embedded in their environmental and experimental context.

Authors: Martin Golebiewski, Gerhard Mayer

Date Published: 2024

Publication Type: InCollection

Powered by
 (v.1.16.0)
About HITS Publication SEEK | About HITS-Publication-SEEK | Funding and Programmes | Credits
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH