Philipp Hess

According to our database, Philipp Hess authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature.

Nils Bochow, Philipp Hess, Alexander Robinson

CoRR, July, 2025

Generating time-consistent dynamics with discriminator-guided image diffusion models.

Philipp Hess, Maximilian Gelbrecht, Christof Schötz, Michael Aich, Yu Huang, Shangshang Yang, Niklas Boers

CoRR, May, 2025

Diffusion models for probabilistic precipitation generation from atmospheric variables.

Michael Aich, Sebastian Bathiany, Philipp Hess, Yu Huang, Niklas Boers

CoRR, April, 2025

Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning.

Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

Nat. Mac. Intell., 2025

2024

Conditional diffusion models for downscaling & bias correction of Earth system model precipitation.

Michael Aich, Philipp Hess, Baoxiang Pan, Sebastian Bathiany, Yu Huang, Niklas Boers

CoRR, 2024

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models.

Philipp Hess, Michael Aich, Baoxiang Pan, Niklas Boers

CoRR, 2024

2023

Deep Learning for bias-correcting comprehensive high-resolution Earth system models.

Philipp Hess, Stefan Lange, Niklas Boers

CoRR, 2023

2022

Physically constrained generative adversarial networks for improving precipitation fields from Earth system models.

Philipp Hess, Markus Drüke, Stefan Petri, Felix M. Strnad, Niklas Boers

Nat. Mac. Intell., October, 2022