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Found 5 papers, 1 papers with code
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)
We describe an adversarial game to explore the parameter space of these models, detect upcoming tipping points, and discover the drivers of tipping points.
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points
We describe how this methodology can be applied to the discovery of climate tipping points and, in particular, the collapse of the Atlantic Meridional Overturning Circulation (AMOC).
Benchmarking optimality of time series classification methods in distinguishing diffusions
Statistical optimality benchmarking is crucial for analyzing and designing time series classification (TSC) algorithms.
Unsupervised learning of observation functions in state-space models by nonparametric moment methods
Assuming abundant data of the observation process along with the distribution of the state process, we introduce a nonparametric generalized moment method to estimate the observation function via constrained regression.
Applications of Koopman Mode Analysis to Neural Networks
We also show how using Koopman modes we can selectively prune the network to speed up the training procedure.
