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Found 3 papers, 3 papers with code
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
TSMixer outperforms state-of-the-art MLP and Transformer models in forecasting by a considerable margin of 8-60%.
Multivariate Time Series Forecasting
Representation Learning
+2
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Our channel-independent patch time series Transformer (PatchTST) can improve the long-term forecasting accuracy significantly when compared with that of SOTA Transformer-based models.
Ranked #1 on
Time Series Forecasting
on Electricity (192)
Multivariate Time Series Forecasting
Representation Learning
+1
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis (Extended Version)
This paper presents the architecture of AFrame, describes the underlying capabilities of AsterixDB that efficiently support modern data analytic operations, and utilizes the proposed benchmark to evaluate and compare the performance and support for large-scale data analyses provided by alternative DataFrame libraries.
Databases
