IEEE

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation

Abstract: Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements ...
GitHub

Awesome Time Series Forecasting/Prediction Papers

Note that repeating univariate forecasting multiple times can also achieve the goal of multivariate forecasting, which is called channel-independent. However, univariate forecasting methods cannot ...
IEEE

DiffTST: Diff Transformer for Multivariate Time Series Forecast

Abstract: Deep learning models employing the Transformer architecture have demonstrated exceptional performance in the field of multivariate time series forecasting research. However, these models ...
GitHub

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

This code is the official PyTorch implementation of our NIPS'25 paper: Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective. If you find this project helpful, ...