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20192025
most citedTiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

11 citations · 16 across the 8 of their papers we have counts for

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cs.LG2024

Towards Unbiased Evaluation of Time-series Anomaly Detector

Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi +3

Time series anomaly detection (TSAD) is an evolving area of research motivated by its critical applications, such as detecting seismic activity, sensor failures in industrial plant…

cs.LG2024★ 11 cited

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Vijay Ekambaram, Arindam Jati, Pankaj Dayama +5

Large pre-trained models excel in zero/few-shot learning for language and vision tasks but face challenges in multivariate time series (TS) forecasting due to diverse data characte…