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High Rank Path Development Embedding
The dataset used in this paper is a collection of stochastic processes, including 3-dimensional Brownian motion and fractional Brownian motion. -
Learning minimal representations of stochastic processes with variational aut...
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... -
Recovering Arrhythmic EEG Transients from Their Stochastic Interference
The dataset is used to study the neuronal dynamics underlying electroencephalograms (EEG) and to recover arrhythmic EEG transients from their stochastic interference. -
Stochastic Double Well
The dataset used in the paper is not explicitly described, but it is mentioned that it is a comprehensive set of possible states of the environment.