Learning minimal representations of stochastic processes with variational autoencoders

Stochastic processes have found numerous applications in science, as they are broadly used to model a variety of natural phenomena. The dataset consists of trajectories of stochastic processes, including Brownian motion, fractional Brownian motion, and scaled Brownian motion.

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Cite this as

Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein, Alexandre Dauphin, Gorka Muñoz-Gil (2024). Dataset: Learning minimal representations of stochastic processes with variational autoencoders. https://doi.org/10.57702/2jc04dta

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Gabriel Fernández-Fernández
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Carlo Manzo
Maciej Lewenstein
Alexandre Dauphin
Gorka Muñoz-Gil
Homepage https://doi.org/10.1101/2022.04.15.21255291