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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 Model Checking and the Kernel Trick for Signal Temporal Logic on Sto...
The dataset is used to evaluate the performance of the STL kernel for signal temporal logic. -
Translation Framework for Chemical Reaction Networks
The dataset used in this paper is a collection of biochemical reaction networks with special topologies, called weak reversibility (WR) and zero deficiency (ZD), and their... -
Stability Verification in Stochastic Control Systems via Neural Network
The dataset used in the paper is a discrete-time stochastic dynamical system with two novel aspects: (a) using ranking supermartingales (RSMs) to certify almost-sure asymptotic... -
Contact Process with Hybrid Dynamics
The dataset used in the paper is a stochastic model of contact-process-like dynamics with hybrid strategies. -
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... -
Deep Stochastic Mechanics
The dataset used in the paper is a stochastic process that samples from the quantum density, which is a probability distribution over the phase space of a quantum system. -
Merton's Optimal Portfolio Problem under Sporadic Bankruptcy
The dataset used in the paper is a stock market following a geometric Brownian motion and a riskless asset continuously compounded at a constant rate. The stock can go bankrupt,... -
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.
