Sambaran Bandyopadhyay

According to our database, Sambaran Bandyopadhyay authored at least 47 papers between 2011 and 2024.

Collaborative distances:

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

2024

Is this a bad table? A Closer Look at the Evaluation of Table Generation from Text.

Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay

CoRR, 2024

PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization.

Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas, Varre Chaitanya, Shwetha Somasundaram

CoRR, 2024

Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution.

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

CoRR, 2024

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach.

Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena

Proceedings of the 17th International Natural Language Generation Conference, 2024

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents.

Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

A framework to preserve distance-based graph properties in network embedding.

Shweta Garg, Ramasuri Narayanam, Sambaran Bandyopadhyay

Soc. Netw. Anal. Min., 2022

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian

CoRR, 2022

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture.

Anoushka Vyas, Sambaran Bandyopadhyay

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network.

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Monolith to Microservices: Representing Application Software through Heterogeneous GNN.

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam

CoRR, 2021

Unsupervised constrained community detection via self-expressive graph neural network.

Sambaran Bandyopadhyay, Vishal Peter

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

1st International Workshop on Data Assessment and Readiness for AI.

Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Data Quality for Machine Learning Tasks.

Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application.

Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semi-supervised Soil Moisture Prediction through Graph Neural Networks.

Anoushka Vyas, Sambaran Bandyopadhyay

CoRR, 2020

Self-Expressive Graph Neural Network for Unsupervised Community Detection.

Sambaran Bandyopadhyay, Vishal Peter

CoRR, 2020

Robust Hierarchical Graph Classification with Subgraph Attention.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

CoRR, 2020

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

CoRR, 2020

Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs.

Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty

CoRR, 2020

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding.

Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description.

Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Multilayered Informative Random Walk for Attributed Social Network Embedding.

Sambaran Bandyopadhyay, Anirban Biswas, Harsh Kara, M. N. Murty

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion.

Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Self-supervised Hierarchical Graph Neural Network for Graph Representation.

Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks.

Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam

CoRR, 2019

Outlier Aware Network Embedding for Attributed Networks.

Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

SaC2Vec: Information Network Representation with Structure and Content.

Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty

CoRR, 2018

FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.

Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty

CoRR, 2018

Algorithm to control power production from solar photovoltaic panels.

Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya

Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

A machine learning based heating and cooling load forecasting approach for DHC networks.

Sambaran Bandyopadhyay, Jagabondhu Hazra, Shivkumar Kalyanaraman

Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

A Generic Axiomatic Characterization for Measuring Influence in Social Networks.

Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty

Proceedings of the 24th International Conference on Pattern Recognition, 2018

DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups.

Sambaran Bandyopadhyay, Sharad Nandanwar, Rishabh Deshmukh, Narasimha Murty Musti

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Trial in Luleå, Sweden.

Kumar Saurav, Mohit Jain, Sambaran Bandyopadhyay

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017

A Generic Axiomatic Characterization of Centrality Measures in Social Network.

Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam

CoRR, 2017

Algorithm to Control Power Production from Solar Panels.

Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Energy-Efficiency Potential of Behavioral Initiatives: An Experimental Case Study from Brunei.

Sambaran Bandyopadhyay, Kalyan Dasgupta, Vijay Arya, Sathyajith Mathew, Iskandarbin Petra, A. Alias

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei.

Sambaran Bandyopadhyay, Kalyan Dasgupta, Vijay Arya, Sathyajith Mathew, Iskandarbin Petra, A. Alias

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

2016

Axioms to characterize efficient incremental clustering.

Sambaran Bandyopadhyay, M. Narasimha Murty

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Supply scheduling and usage-based pricing for shared storage in adaptive dynamic islanding.

Anamitra Roy Choudhury, Ramachandra Kota, Sampath Dechu, Sambaran Bandyopadhyay

Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Planning Curtailment of Renewable Generation in Power Grids.

Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid.

Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Machine learning for inferring phase connectivity in distribution networks.

Sambaran Bandyopadhyay, Ramachandra Kota, Rajendu Mitra, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Voltage Correlations in Smart Meter Data.

Rajendu Mitra, Ramachandra Kota, Sambaran Bandyopadhyay, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Aggregate Demand-Based Real-Time Pricing Mechanism for the Smart Grid: A Game-Theoretic Analysis.

Sambaran Bandyopadhyay, Ramasuri Narayanam, Ramachandra Kota, Pg Mohammad Iskandarbin Pg Hj Petra, Zainul Charbiwala

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Individual and Aggregate Electrical Load Forecasting: One for All and All for One.

Sambaran Bandyopadhyay, Tanuja Ganu, Harshad Khadilkar, Vijay Arya

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2011

Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform.

Sambaran Bandyopadhyay, Ruchira Naskar, Rajat Subhra Chakraborty

Proceedings of the Security Aspects in Information Technology, 2011