TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Ekambaram, Vijay, Jati, Arindam, Nguyen, Nam, Sinthong, Phanwadee, Kalagnanam, Jayant
Published in arXiv.org (11.12.2023)
Published in arXiv.org (11.12.2023)
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Paper
Journal Article
Towards Unbiased Evaluation of Time-series Anomaly Detector
Bhattacharya, Debarpan, Mukherjee, Sumanta, Kamanchi, Chandramouli, Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj
Year of Publication 19.09.2024
Year of Publication 19.09.2024
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Journal Article
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
Kamanchi, Chandramouli, Mukherjee, Sumanta, Sampath, Kameshwaran, Dayama, Pankaj, Jati, Arindam, Ekambaram, Vijay, Phan, Dzung
Year of Publication 07.08.2024
Year of Publication 07.08.2024
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Journal Article
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj, Mukherjee, Sumanta, Nguyen, Nam H, Gifford, Wesley M, Reddy, Chandra, Kalagnanam, Jayant
Year of Publication 08.01.2024
Year of Publication 08.01.2024
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Journal Article
Rendering privacy aware advertisements in mixed reality space
EKAMBARAM, Vijay, KWATRA, Shikhar, GRIFFIN, Adam Lee, SESHADRI, Padmanabha Venkatagiri
Year of Publication 10.10.2024
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Year of Publication 10.10.2024
Patent
Distributed Incremental Machine Learning for Big Time Series Data
Salwala, Dhaval, Tirupathi, Seshu, Quanz, Brian, Gifford, Wesley M., Siegel, Stuart, Ekambaram, Vijay, Jati, Arindam
Published in 2022 IEEE International Conference on Big Data (Big Data) (17.12.2022)
Published in 2022 IEEE International Conference on Big Data (Big Data) (17.12.2022)
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Conference Proceeding