Vijay Ekambaram

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 10

Top Topics

Multivariate Time Series

Top Venues

Publications

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI (2024)
Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
Tiny Time Mixers (TTMs): Fast Pretrained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR (2024)
Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. KDD (2023)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting. KDD (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. CoRR (2023)
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
Hierarchy-guided Model Selection for Time Series Forecasting. CoRR (2022)
Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati
Distributed Incremental Machine Learning for Big Time Series Data. Big Data (2022)
Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar
Attention based Multi-Modal New Product Sales Time-series Forecasting. KDD (2020)
Vijay Ekambaram, Ruhi Sharma Mittal, Prasenjit Dey, Ravindranath Kokku, Aditya K. Sinha, Satya V. Nitta
Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning. EDM (2017)
Vijay Ekambaram, Krishna M. Sivalingam
Interest flooding reduction in Content Centric Networks. HPSR (2013)
Vikrant Nandakumar, Vijay Ekambaram, Vivek Sharma
Appstrument - A Unified App Instrumentation and Automated Playback Framework for Testing Mobile Applications. MobiQuitous (2013)