Sumanta Mukherjee

According to our database, Sumanta Mukherjee authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Unbiased Evaluation of Time-series Anomaly Detector.

Debarpan Bhattacharya, Sumanta Mukherjee, Chandramouli Kamanchi, Vijay Ekambaram, Arindam Jati, Pankaj Dayama

CoRR, 2024

Activations Through Extensions: A Framework To Boost Performance Of Neural Networks.

Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath, Pankaj Dayama, Arindam Jati, Vijay Ekambaram, Dzung Phan

CoRR, 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 Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Semi-supervised counterfactual explanations.

Surya Shravan Kumar Sajja, Sumanta Mukherjee, Satyam Dwivedi

CoRR, 2023

TsSHAP: Robust model agnostic feature-based explainability for time series forecasting.

Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín

CoRR, 2023

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases.

Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Hierarchy-guided Model Selection for Time Series Forecasting.

Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami

CoRR, 2022

Physics-based multiple time-series univariate forecasting.

Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Intersection Patterns in Optimal Binary (5, 3) Doubling Subspace Codes.

Anirban Ghatak, Sumanta Mukherjee

CoRR, 2021

Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail.

Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Robust resource demand estimation using hierarchical Bayesian model in a distributed service system.

Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Attention based Multi-Modal New Product Sales Time-series Forecasting.

Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers.

Joy Bose, Sumanta Mukherjee

CoRR, 2019

2018

Role of genetic heterogeneity in determining the epidemiological severity of H1N1 influenza.

Narmada Sambaturu, Sumanta Mukherjee, Martín López-García, Carmen Molina-París, Gautam I. Menon, Nagasuma Chandra

PLoS Comput. Biol., 2018

2016

HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials.

Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra

Bioinform., 2016

2014

PLIC: protein-ligand interaction clusters.

Praveen Anand, Deepesh Nagarajan, Sumanta Mukherjee, Nagasuma R. Chandra

Database J. Biol. Databases Curation, 2014

2013

Current trends in modeling host-pathogen interactions.

Sumanta Mukherjee, Awanti Sambarey, Karyala Prashanthi, Nagasuma R. Chandra

WIREs Data Mining Knowl. Discov., 2013

A multi-level multi-scale approach to study essential genes in Mycobacterium tuberculosis.

Soma Ghosh, Priyanka Baloni, Sumanta Mukherjee, Praveen Anand, Nagasuma R. Chandra

BMC Syst. Biol., 2013