Paula Harder

According to our database, Paula Harder authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System.

Paula Harder, Johannes Flemming, Mihai Alexe, Gert Mertes, Baudouin Raoult, Matthew Chantry

CoRR, April, 2026

Reconstructing Carbon Monoxide Reanalysis with Machine Learning.

Paula Harder, Johannes Flemming

CoRR, February, 2026

2025

On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling.

Paula Harder, Christian Lessig, Matthew Chantry, Francis Pelletier, David Rolnick

CoRR, December, 2025

RainShift: A Benchmark for Precipitation Downscaling Across Geographies.

Paula Harder, Luca Schmidt, Francis Pelletier, Nicole Ludwig, Matthew Chantry, Christian Lessig, Alex Hernández-García, David Rolnick

CoRR, July, 2025

2024

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.

Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez

IEEE Robotics Autom. Mag., June, 2024

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling.

Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

J. Mach. Learn. Res., 2024

Evaluating the transferability potential of deep learning models for climate downscaling.

Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

CoRR, 2024

Climate Variable Downscaling with Conditional Normalizing Flows.

Christina Winkler, Paula Harder, David Rolnick

CoRR, 2024

2023

Hard-Constrained Deep Learning for Climate Downscaling.

Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

J. Mach. Learn. Res., 2023

Multi-variable Hard Physical Constraints for Climate Model Downscaling.

Jose González-Abad, Alex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez Llorente

CoRR, 2023

2022

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds.

Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

CoRR, 2022

Identifying the Causes of Pyrocumulonimbus (PyroCb).

Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

CoRR, 2022

Generating physically-consistent high-resolution climate data with hard-constrained neural networks.

Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick

CoRR, 2022

Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions.

Paula Harder

CoRR, 2022

Physics-Informed Learning of Aerosol Microphysics.

Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper

CoRR, 2022

2021

Detecting AutoAttack Perturbations in the Frequency Domain.

Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper

CoRR, 2021

Emulating Aerosol Microphysics with Machine Learning.

Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper

CoRR, 2021

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain.

Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations.

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

CoRR, 2020

Error estimates for the Cahn-Hilliard equation with dynamic boundary conditions.

Paula Harder, Balázs Kovács

CoRR, 2020