Arindam Jati

IBM Research - India — India

Computer Science · Physical Sciences

11h-index639citations43works2.62yr avg
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Research Topics

Speech and Audio Processing(12), Music and Audio Processing(10), Speech Recognition and Synthesis(9), Time Series Analysis and Forecasting(8), EEG and Brain-Computer Interfaces(7)

Publications43 total

Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation
Algorithms·2025· 1 citedOpen Access
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis
arXiv (Cornell University)·2025Open Access
Towards Unbiased Evaluation of Time-series Anomaly Detector
2025· 1 cited
Towards Unbiased Evaluation of Time-series Anomaly Detector
arXiv (Cornell University)·2024Open Access
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
arXiv (Cornell University)·2024Open Access
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 2 citedOpen Access
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
arXiv (Cornell University)·2024· 11 citedOpen Access
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
2024· 6 cited
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
arXiv (Cornell University)·2023· 1 citedOpen Access
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
2023· 3 citedOpen Access
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
2023· 193 citedOpen Access
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
arXiv (Cornell University)·2023· 1 citedOpen Access
Distributed Incremental Machine Learning for Big Time Series Data
2022 IEEE International Conference on Big Data (Big Data)·2022· 2 cited
Physics-based multiple time-series univariate forecasting
2022 IEEE International Conference on Big Data (Big Data)·2022
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
arXiv (Cornell University)·2022· 2 citedOpen Access
Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training
2021· 3 citedOpen Access
Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction
IEEE/ACM Transactions on Audio Speech and Language Processing·2021· 8 cited
Adversarial defense for deep speaker recognition using hybrid\n adversarial training
arXiv (Cornell University)·2020Open Access
An Empirical Analysis of Information Encoded in Disentangled Neural Speaker Representations
2020· 1 citedOpen Access
Supervised Deep Hashing for Efficient Audio Event Retrieval
2020· 11 cited
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Frequent Co-authors

Vijay Ekambaram(13), Amit Konar(12), Shrikanth Narayanan(9), Panayiotis Georgiou(8), Anwesha Khasnobish(8), D. N. Tibarewala(8), Jayant Kalagnanam(7), Raghuveer Peri(7), Garima Singh(6), Saugat Bhattacharyya(6), Wesley M. Gifford(6), R. Janarthanan(5), Atulya K. Nagar(4), Pankaj Dayama(4), Monisankha Pal(4), Sumanta Mukherjee(4), Krishna Somandepalli(4), Sumanta Mukherjee(4), Pankaj Dayama(4), Nam Hoai Nguyen(3)