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Paula Harder
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2020 – today
- 2024
- [j1]Jose Ignacio Delgado-Centeno
, Paula Harder, Valentin Tertius Bickel
, Ben Moseley
, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez
:
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
- [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
, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper:
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
, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris
, Paula Harder, Nis Meinert
:
Identifying the Causes of Pyrocumulonimbus (PyroCb). CoRR abs/2211.08883 (2022) - [i6]Kenza Tazi
, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris
, Paula Harder, Nis Meinert
:
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, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper:
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
, Aris Marcolongo, Sofija Stefanovic, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris:
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. CoRR abs/2011.07017 (2020)
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last updated on 2024-08-27 22:54 CEST by the dblp team
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