Sambaran Bandyopadhyay

Affiliations:
  • IBM India Research Lab


According to our database1, Sambaran Bandyopadhyay authored at least 48 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization.
CoRR, 2024

Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution.
CoRR, 2024

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach.
Proceedings of the 17th International Natural Language Generation Conference, 2024

Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents.
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.
Soc. Netw. Anal. Min., 2022

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.
CoRR, 2022

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Monolith to Microservices: Representing Application Software through Heterogeneous GNN.
CoRR, 2021

Unsupervised constrained community detection via self-expressive graph neural network.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

1st International Workshop on Data Assessment and Readiness for AI.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Data Quality for Machine Learning Tasks.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-supervised Soil Moisture Prediction through Graph Neural Networks.
CoRR, 2020

Self-Expressive Graph Neural Network for Unsupervised Community Detection.
CoRR, 2020

Robust Hierarchical Graph Classification with Subgraph Attention.
CoRR, 2020

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.
CoRR, 2020

Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs.
CoRR, 2020

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding.
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.
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.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Self-supervised Hierarchical Graph Neural Network for Graph Representation.
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.
CoRR, 2019

Outlier Aware Network Embedding for Attributed Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SaC2Vec: Information Network Representation with Structure and Content.
CoRR, 2018

FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.
CoRR, 2018

Algorithm to control power production from solar photovoltaic panels.
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.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

A Generic Axiomatic Characterization for Measuring Influence in Social Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups.
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.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017
A Generic Axiomatic Characterization of Centrality Measures in Social Network.
CoRR, 2017

Algorithm to Control Power Production from Solar Panels.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Energy-Efficiency Potential of Behavioral Initiatives: An Experimental Case Study from Brunei.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

2016
Axioms to characterize efficient incremental clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Supply scheduling and usage-based pricing for shared storage in adaptive dynamic islanding.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Planning Curtailment of Renewable Generation in Power Grids.
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.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Machine learning for inferring phase connectivity in distribution networks.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Voltage Correlations in Smart Meter Data.
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.
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.
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.
Proceedings of the Security Aspects in Information Technology, 2011


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