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2020 – today
- 2024
[i4]Kevin Höhlein, Timothy Hewson, Rüdiger Westermann:
Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation. CoRR abs/2406.11894 (2024)- 2023
- [c2]Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann:
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles. VMV 2023: 81-88 - [i3]Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann:
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles. CoRR abs/2307.02203 (2023) - [i2]Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch:
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks. CoRR abs/2309.04452 (2023) - 2022
- [j3]Josef Stumpfegger
, Kevin Höhlein, George Craig, Rüdiger Westermann:
GPU accelerated scalable parallel coordinates plots. Comput. Graph. 109: 111-120 (2022) - [c1]Kevin Höhlein, Sebastian Weiss, Rüdiger Westermann:
Evaluation of Volume Representation Networks for Meteorological Ensemble Compression. VMV 2022: 9-16 - 2021
- [j2]Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann:
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects. Comput. Graph. Forum 40(2): 165-178 (2021) - [d2]Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann:
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects. Version v1.0. Zenodo, 2021 [all versions]
- [d1]Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann:
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects. Version v1.1. Zenodo, 2021 [all versions] - 2020
- [i1]Ludwig Leonard, Kevin Hoehlein, Rüdiger Westermann:
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects. CoRR abs/2011.03082 (2020)
2010 – 2019
- 2018
- [j1]Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis:
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6: 77402-77413 (2018)
Coauthor Index
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