Paula Harder

According to our database1, Paula Harder authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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6
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.
IEEE Robotics Autom. Mag., June, 2024

Evaluating the transferability potential of deep learning models for climate downscaling.
CoRR, 2024

Climate Variable Downscaling with Conditional Normalizing Flows.
CoRR, 2024

2023
Hard-Constrained Deep Learning for Climate Downscaling.
J. Mach. Learn. Res., 2023

Multi-variable Hard Physical Constraints for Climate Model Downscaling.
CoRR, 2023

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling.
CoRR, 2023

2022
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds.
CoRR, 2022

Identifying the Causes of Pyrocumulonimbus (PyroCb).
CoRR, 2022

Generating physically-consistent high-resolution climate data with hard-constrained neural networks.
CoRR, 2022

Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions.
CoRR, 2022

Physics-Informed Learning of Aerosol Microphysics.
CoRR, 2022

2021
Detecting AutoAttack Perturbations in the Frequency Domain.
CoRR, 2021

Emulating Aerosol Microphysics with Machine Learning.
CoRR, 2021

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations.
CoRR, 2020

Error estimates for the Cahn-Hilliard equation with dynamic boundary conditions.
CoRR, 2020


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