9 datasets found

The dataset used in this paper is a collection of stochastic processes, including 3-dimensional Brownian motion and fractional Brownian motion.

Three real-world time series datasets: Air Quality Guangzhou (Air-GZ), Air Quality Shenzhen (Air-SZ), and Boiler.

Time Series Generation (TSG) has emerged as a pivotal technique in synthesizing data that accurately mirrors real-world time series, becoming indispensable in numerous...

Real-world data can be multimodal distributed, e.g., data describing the opinion divergence in a community, the interspike interval distribution of neurons, and the oscillators’...

The dataset contains multivariate sinusoidal time-series with different frequencies and phases.

The dataset used in this paper is a collection of stock prices, with daily log returns from 2010 to 2020.

This paper shows that masked autoencoder with extrapolator (ExtraMAE) is a scalable self-supervised model for time series generation. ExtraMAE randomly masks some patches of the...

TimeGAN is a model for generating time series.

TS-Diffusion is a general model for generating highly complex time series with irregularities, missingness, and the large feature-temporal dimensionality, which are aspects...