Paula Harder
Paula Harder
PhD student Fraunhofer Institute, Mila Quebec AI Institute
Verified email at - Homepage
Cited by
Cited by
Spectraldefense: Detecting adversarial attacks on cnns in the fourier domain
P Harder, FJ Pfreundt, M Keuper, J Keuper
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
ClimateBench v1. 0: A benchmark for data‐driven climate projections
D Watson‐Parris, Y Rao, D Olivié, Ø Seland, P Nowack, G Camps‐Valls, ...
Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002954, 2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
P Harder, Q Yang, V Ramesh, P Sattigeri, A Hernandez-Garcia, C Watson, ...
arXiv preprint arXiv:2208.05424 18, 109-122, 2022
Physics-informed learning of aerosol microphysics
P Harder, D Watson-Parris, P Stier, D Strassel, NR Gauger, J Keuper
Environmental Data Science 1, e20, 2022
Detecting autoattack perturbations in the frequency domain
P Lorenz, P Harder, D Straßel, M Keuper, J Keuper
arXiv preprint arXiv:2111.08785, 2021
Fourier neural operators for arbitrary resolution climate data downscaling
Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattegeri, ...
arXiv preprint arXiv:2305.14452, 2023
Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions
P Harder, B Kovács
IMA Journal of Numerical Analysis 42 (3), 2589-2620, 2022
Emulating aerosol microphysics with machine learning
P Harder, D Watson-Parris, D Strassel, N Gauger, P Stier, J Keuper
arXiv preprint arXiv:2109.10593, 2021
Nightvision: generating nighttime satellite imagery from infra-red observations
P Harder, W Jones, R Lguensat, S Bouabid, J Fulton, D Quesada-Chacón, ...
arXiv preprint arXiv:2011.07017, 2020
Single image super-resolution with uncertainty estimation for lunar satellite images
JI Delgado-Centeno, P Harder, B Moseley, V Bickel, S Ganju, ...
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
Multi-variable hard physical constraints for climate model downscaling
J González-Abad, Á Hernández-García, P Harder, D Rolnick, ...
Proceedings of the AAAI Symposium Series 2 (1), 62-67, 2023
Identifying the causes of pyrocumulonimbus (pyrocb)
ED Salas-Porras, K Tazi, A Braude, D Okoh, KD Lamb, D Watson-Parris, ...
arXiv preprint arXiv:2211.08883, 2022
Enhancing Regional Climate Downscaling through Advances in Machine Learning
N Rampal, S Hobeichi, PB Gibson, J Baño-Medina, G Abramowitz, ...
Artificial Intelligence for the Earth Systems 3 (2), 230066, 2024
Physics-constrained deep learning for downscaling
P Harder, V Ramesh, A Hernandez-Garcia, Q Yang, P Sattigeri, ...
EGU General Assembly Conference Abstracts, EGU-4350, 2023
Hard-Constrained Deep Learning for Climate Downscaling
P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattegeri, ...
Journal of Machine Learning Research 24 (365), 1-40, 2023
ClimateBench: A benchmark dataset for data-driven climate projections
D Watson-Parris, Y Rao, D Olivié, Ø Seland, PJ Nowack, G Camps-Valls, ...
Authorea Preprints, 2022
Pyrocast: a machine learning pipeline to forecast pyrocumulonimbus (pyrocb) clouds
K Tazi, ED Salas-Porras, A Braude, D Okoh, KD Lamb, D Watson-Parris, ...
arXiv preprint arXiv:2211.13052, 2022
Physics-Constrained Deep Learning for Climate Downscaling
P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattigeri, ...
arXiv preprint arXiv:2208.05424, 2022
Abstract error analysis for Cahn--Hilliard type equations with dynamic boundary conditions
P Harder
arXiv preprint arXiv:2208.04242, 2022
Climate Model Downscaling in Central Asia: A Dynamical and a Neural Network Approach
B Fallah, C Menz, E Russo, P Harder, P Hoffmann, I Didovets, ...
Geoscientific Model Development Discussions 2023, 1-27, 2023
The system can't perform the operation now. Try again later.
Articles 1–20