# Multivariate Time Series Transformer Framework

This folder contains the source code for 7 tasks of the UAE Time Series benchmark in [A Primal-Dual Framework for Transformers and Neural Networks paper]. These tasks include: EthanolConcentration, JapaneseVowels, Handwriting, FaceDetection, SpokenArabicDigits, Heartbeat and SelfRegulationSCP1 classification. 

It is built on this [repository](https://github.com/gzerveas/mvts_transformer). Please refer to [repository] for training setups.
Please refer to the [paper]():(https://dl.acm.org/doi/10.1145/3447548.3467401): George Zerveas et al. **A Transformer-based Framework for Multivariate Time Series Representation Learning**, in _Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14-18, 2021_ for details of configurations.
ArXiV version: https://arxiv.org/abs/2010.02803


## Scripts
Run the following script to train the models
  ```angular2html
  bash run.sh
  ```

