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Found 6 papers, 3 papers with code
Physics-Informed Learning of Aerosol Microphysics
The original M7 model is used to generate data of input-output pairs to train a neural network on it.
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
In its most commonly reported sub-task, RobustBench evaluates and ranks the adversarial robustness of trained neural networks on CIFAR10 under AutoAttack (Croce and Hein 2020b) with l-inf perturbations limited to eps = 8/255.
Detecting AutoAttack Perturbations in the Frequency Domain
Recently, adversarial attacks on image classification networks by the AutoAttack (Croce and Hein, 2020b) framework have drawn a lot of attention.
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces
We then incorporate the geometry information of a segmentation mask to provide a fine-grained manipulation of facial attributes.
Emulating Aerosol Microphysics with Machine Learning
This is done in the ECHAM-HAM global climate aerosol model using the M7 microphysics model, but increased computational costs make it very expensive to run at higher resolutions or for a longer time.
Python Workflows on HPC Systems
The recent successes and wide spread application of compute intensive machine learning and data analytics methods have been boosting the usage of the Python programming language on HPC systems.
