Sumanta Mukherjee

22 papers A* 4B 1Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis.
CoRR
Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam
2025 Misc conf
Towards Unbiased Evaluation of Time-series Anomaly Detector.
ICASSP
Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
2024 J jnl
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks.
CoRR
Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath, Pankaj Dayama, Arindam Jati, Vijay Ekambaram, Dzung Phan
2024 A* conf
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.
NeurIPS
Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam
2024 J jnl
Towards Unbiased Evaluation of Time-series Anomaly Detector.
CoRR
Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama
2023 A* conf
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases.
KDD
Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín
2023 A* conf
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting.
KDD
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2023 J jnl
Semi-supervised counterfactual explanations.
CoRR
Surya Shravan Kumar Sajja, Sumanta Mukherjee, Satyam Dwivedi
2023 J jnl
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting.
CoRR
Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín
2022 J jnl
Hierarchy-guided Model Selection for Time Series Forecasting.
CoRR
Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2022 B conf
Physics-based multiple time-series univariate forecasting.
IEEE Big Data
Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín
2021 — conf
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail.
COMAD/CODS
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar
2021 J jnl
Intersection Patterns in Optimal Binary (5, 3) Doubling Subspace Codes.
CoRR
Anirban Ghatak, Sumanta Mukherjee
2021 — conf
Robust resource demand estimation using hierarchical Bayesian model in a distributed service system.
COMAD/CODS
Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee
2020 A* conf
Attention based Multi-Modal New Product Sales Time-series Forecasting.
KDD
Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar
2020 J jnl
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail.
CoRR
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar
2019 J jnl
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers.
CoRR
Joy Bose, Sumanta Mukherjee
2018 J jnl
Role of genetic heterogeneity in determining the epidemiological severity of H1N1 influenza.
PLoS Comput. Biol.
Narmada Sambaturu, Sumanta Mukherjee, Martín López-García, Carmen Molina-París, Gautam I. Menon, Nagasuma Chandra
2016 J jnl
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials.
Bioinform.
Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
2014 J jnl
PLIC: protein-ligand interaction clusters.
Database J. Biol. Databases Curation
Praveen Anand, Deepesh Nagarajan, Sumanta Mukherjee, Nagasuma R. Chandra
2013 J jnl
A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis.
BMC Syst. Biol.
Soma Ghosh, Priyanka Baloni, Sumanta Mukherjee, Praveen Anand, Nagasuma R. Chandra
2013 J jnl
Current trends in modeling host-pathogen interactions.
WIREs Data Mining Knowl. Discov.
Sumanta Mukherjee, Awanti Sambarey, Karyala Prashanthi, Nagasuma R. Chandra