Kevin Höhlein

According to our database, Kevin Höhlein authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation.

Kevin Höhlein, Timothy Hewson, Rüdiger Westermann

CoRR, 2024

2023

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

CoRR, 2023

Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles.

Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann

Proceedings of the VMV 2023, 2023

2022

GPU accelerated scalable parallel coordinates plots.

Josef Stumpfegger, Kevin Höhlein, George Craig, Rüdiger Westermann

Comput. Graph., 2022

Evaluation of Volume Representation Networks for Meteorological Ensemble Compression.

Kevin Höhlein, Sebastian Weiss, Rüdiger Westermann

Proceedings of the VMV 2022, 2022

2021

Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.

Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann

Dataset, February, 2021

Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.

Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann

Dataset, February, 2021

Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.

Ludwig Leonard, Kevin Höhlein, Rüdiger Westermann

Comput. Graph. Forum, 2021

2018

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.

Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis

IEEE Access, 2018