Paula Harder, Venkatesh Ramesh, Alex Hernandez-Garcia, Qidong Yang, Prasanna Sattigeri, Campbell Watson, Daniela Szwarcman, David Rolnick. Physics-Constrained Deep Learning for Downscaling, under review at JMLR.
Jose Delgado-Centeno, Paula Harder, Ben Moseley, Valentin Bickel, Siddha Ganju, Miguel Olivarez, Freddie Kalaitzis. Super-Resolution of Lunar-Satellite Images for Enhanced Robotic Traverse Planning, under review at IEEE Robotics and Automation Journal.
Qidong Yang, Paula Harder, Venkatesh Ramesh, Alex Hernandez-Garcia, Prasanna Sattigeri, Campbell Watson, Daniela Szwarcman, David Rolnick. Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling, accepted at ICLR workshop Tackling Climate Change with Machine Learning.
Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert. Identifying causes of Pyrocumulonimbus (PyroCb). Accepted at CML4Impact workshop, NeurIPS.
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert. Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb). Accepted at Tackling Climate Change with ML workshop, NeurIPS.
Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernandez-Garcia, Campbell Watson, Daniela Szwarcman, David Rolnick. Generating physically-consistent high-resolution climate data with hard-constrained neural networks. Accepted at AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges and Accepted at Tackling Climate Change with ML workshop, NeurIPS.
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nico Gauger, Janis Keuper. Physics-Informed Learning of Aerosol Microphysics. Accepted at Environmental Data Science.
Duncan Watson-Parris, Yuhan Rao, Dirk Olivié, Øyvind Seland, Peer J Nowack, Gustau Camps-Valls, Philip Stier, Shahine Bouabid, Maura Dewey, Emilie Fons, Jessenia Margarita Marina Gonzalez, Paula Harder et al. ClimateBench: A benchmark dataset for data-driven climate projections.Journal of Advances in Modeling Earth Systems.
Jose Delgado-Centeno, Paula Harder, Ben Moseley, Valentin Bickel, Siddha Ganju, Miguel Olivarez, Freddie Kalaitzis. Uncertainty-Based Super-Resolution of Lunar Surface Imagery. Under review.
Jose Delgado-Centeno, Paula Harder, Ben Moseley, Valentin Bickel, Siddha Ganju, Miguel Olivarez, Freddie Kalaitzis. Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images. Workshop DGMs Applications and ML for Physical Sciences, NeurIPS, December 2021.
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nico Gauger, Philip Stier, Janis Keuper. Emulating Aerosol Microphysics with Machine Learning. International Conference on Machine Learning (ICML), Tackling Climate Change with AI, July 2021.
Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper. Detecting AutoAttack Perturbation in the Frequency Domain. International Conference on Machine Learning (ICML), Adversarial Machine Learning, July 2021.
Paula Harder, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper. SpectralDefense: Detecting Adversarial Attacks on CNNS in the Fourier Domain. International Joint Conference on Neural Networks (IJCNN), 2021.
Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris. NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. Neural information processing systems (NeurIPS), Tackling Climate Change with AI, December 2020.
Paula Harder and Balázs Kovács. Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions . June 2020, To appear in IMA Journal of Numerical Analysis.
Paula Harder. Abstract error analysis for Cahn–Hilliard etype quations with dynamic boundary conditions . September 2019, Masterthesis.