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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. -
Air Quality Guangzhou (Air-GZ), Air Quality Shenzhen (Air-SZ), and Boiler
Three real-world time series datasets: Air Quality Guangzhou (Air-GZ), Air Quality Shenzhen (Air-SZ), and Boiler. -
Towards Controllable Time Series Generation
Time Series Generation (TSG) has emerged as a pivotal technique in synthesizing data that accurately mirrors real-world time series, becoming indispensable in numerous... -
Directed Chain Generative Adversarial Networks
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’... -
Sine Dataset
The dataset contains multivariate sinusoidal time-series with different frequencies and phases. -
Stock Dataset
The dataset used in this paper is a collection of stock prices, with daily log returns from 2010 to 2020. -
Time Series Generation with Masked Autoencoder
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... -
TS-Diffusion
TS-Diffusion is a general model for generating highly complex time series with irregularities, missingness, and the large feature-temporal dimensionality, which are aspects...
