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Paula Harder
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2020 – today
- 2024
- [j2]Jose Ignacio Delgado-Centeno
, Paula Harder, Valentin Tertius Bickel
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. IEEE Robotics Autom. Mag. 31(2): 100-112 (2024) - [i14]Christina Winkler, Paula Harder, David Rolnick:
Climate Variable Downscaling with Conditional Normalizing Flows. CoRR abs/2405.20719 (2024) - [i13]Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Evaluating the transferability potential of deep learning models for climate downscaling. CoRR abs/2407.12517 (2024) - 2023
- [j1]Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Hard-Constrained Deep Learning for Climate Downscaling. J. Mach. Learn. Res. 24: 365:1-365:40 (2023) - [i12]Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR abs/2305.14452 (2023) - [i11]Jose González-Abad, Alex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez Llorente:
Multi-variable Hard Physical Constraints for Climate Model Downscaling. CoRR abs/2308.01868 (2023) - 2022
- [i10]Paula Harder, Duncan Watson-Parris
Physics-Informed Learning of Aerosol Microphysics. CoRR abs/2207.11786 (2022) - [i9]Paula Harder:
Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions. CoRR abs/2208.04242 (2022) - [i8]Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick
Generating physically-consistent high-resolution climate data with hard-constrained neural networks. CoRR abs/2208.05424 (2022) - [i7]Emiliano Díaz Salas-Porras, Kenza Tazi
Identifying the Causes of Pyrocumulonimbus (PyroCb). CoRR abs/2211.08883 (2022) - [i6]Kenza Tazi
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. CoRR abs/2211.13052 (2022) - 2021
- [c1]Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper:
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN 2021: 1-8 - [i5]Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper:
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR abs/2103.03000 (2021) - [i4]Paula Harder, Duncan Watson-Parris
Emulating Aerosol Microphysics with Machine Learning. CoRR abs/2109.10593 (2021) - [i3]Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper:
Detecting AutoAttack Perturbations in the Frequency Domain. CoRR abs/2111.08785 (2021) - 2020
- [i2]Paula Harder, Balázs Kovács:
Error estimates for the Cahn-Hilliard equation with dynamic boundary conditions. CoRR abs/2005.03349 (2020) - [i1]Paula Harder, William K. Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR abs/2011.07017 (2020)
Coauthor Index
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