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Paula Harder
Paula Harder
PhD student Fraunhofer Institute, Mila Quebec AI Institute
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
782022
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
612021
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
272023
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
262022
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
252024
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
202022
Fourier neural operators for arbitrary resolution climate data downscaling
Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattigeri, ...
Journal of Machine Learning Research 25 (420), 1-30, 2024
182024
Detecting autoattack perturbations in the frequency domain
P Lorenz, P Harder, D Straßel, M Keuper, J Keuper
arXiv preprint arXiv:2111.08785, 2021
152021
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
132022
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
82023
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
82021
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
72020
A Benchmark Dataset for Meteorological Downscaling
M Langguth, P Harder, I Schicker, A Patnala, S Lehner, K Mayer, ...
Tackling Climate Change with Machine Learning Workshop at ICLR 2024, 2024
52024
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
52022
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
5*2022
Physics-informed learning of aerosol microphysics, Environ. Data Sci., 1, e20
P Harder, D Watson-Parris, P Stier, D Strassel, NR Gauger, J Keuper
52022
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
52021
Evaluating the transferability potential of deep learning models for climate downscaling
A Prasad, P Harder, Q Yang, P Sattegeri, D Szwarcman, C Watson, ...
arXiv preprint arXiv:2407.12517, 2024
32024
Climate Variable Downscaling with Conditional Normalizing Flows
C Winkler, P Harder, D Rolnick
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
32023
Physics-constrained deep learning for climate downscaling
P Harder, Q Yang, V Ramesh, A Hernandez-garcia, P Sattigeri, C Watson, ...
Annual Conference on Neural Information Processing Systems, 2022
32022
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