Kevin Höhlein
Orcid: 0000-0002-4483-8388
According to our database1,
Kevin Höhlein
authored at least 10 papers
between 2018 and 2025.
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Bibliography
2025
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods.
CoRR, February, 2025
2024
Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation.
CoRR, 2024
2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.
CoRR, 2023
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles.
Proceedings of the 28th International Symposium on Vision, Modeling, and Visualization, 2023
2022
Evaluation of Volume Representation Networks for Meteorological Ensemble Compression.
Proceedings of the 27th International Symposium on Vision, Modeling, and Visualization, 2022
2021
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.
Dataset, February, 2021
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.
Dataset, February, 2021
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects.
Comput. Graph. Forum, 2021
2018
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
IEEE Access, 2018