Paula Harder

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Machine Learning

Navier Stokes Equations

Top Venues

IEEE Robotics Autom. Mag.

Publications

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 (2024)
Christina Winkler, Paula Harder, David Rolnick
Climate Variable Downscaling with Conditional Normalizing Flows. CoRR (2024)
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) (2024)
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 (2023)
Jose González-Abad, Alex Hernández-García, Paula Harder, David Rolnick, José Manuel Gutiérrez Llorente
Multi-variable Hard Physical Constraints for Climate Model Downscaling. CoRR (2023)
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
Physics-Informed Learning of Aerosol Microphysics. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
Paula Harder
Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions. CoRR (2022)
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper
Emulating Aerosol Microphysics with Machine Learning. CoRR (2021)
Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN (2021)
Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR (2021)
Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
Detecting AutoAttack Perturbations in the Frequency Domain. CoRR (2021)
Paula Harder, Balázs Kovács
Error estimates for the Cahn-Hilliard equation with dynamic boundary conditions. CoRR (2020)
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 (2020)