Dayama, Pankaj

5 publications

ICLR 2026 TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam

AAAI 2024 AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data 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

NeurIPS 2024 Tiny Time Mixers (TTMs): Fast Pre-Trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam H. Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam

NeurIPSW 2024 Towards Unbiased Evaluation of Time-Series Anomaly Detector Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama

AAAI 2012 Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks over Networks Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou