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Sambaran Bandyopadhyay
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- affiliation: IBM India Research Lab
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2020 – today
- 2024
- [c31]Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber:
Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. EACL (1) 2024: 2664-2684 - [i18]Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan:
Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution. CoRR abs/2405.13095 (2024) - [i17]Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas, Varre Chaitanya, Shwetha Somasundaram:
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization. CoRR abs/2405.20213 (2024) - [i16]Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena:
Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach. CoRR abs/2406.06556 (2024) - [i15]Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay:
Is this a bad table? A Closer Look at the Evaluation of Table Generation from Text. CoRR abs/2406.14829 (2024) - 2022
- [j1]Shweta Garg, Ramasuri Narayanam
, Sambaran Bandyopadhyay:
A framework to preserve distance-based graph properties in network embedding. Soc. Netw. Anal. Min. 12(1): 44 (2022) - [c30]Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. IJCAI 2022: 3905-3911 - [c29]Anoushka Vyas, Sambaran Bandyopadhyay:
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture. IJCAI 2022: 5185-5191 - [i14]Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian:
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. CoRR abs/2206.06588 (2022) - 2021
- [c28]Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. AAAI 2021: 72-80 - [c27]Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala:
Data Quality for Machine Learning Tasks. KDD 2021: 4040-4041 - [c26]Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel:
1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) 2021: 117-120 - [c25]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. PAKDD (1) 2021: 554-565 - [c24]Sambaran Bandyopadhyay, Vishal Peter:
Unsupervised constrained community detection via self-expressive graph neural network. UAI 2021: 1078-1088 - [i13]Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. CoRR abs/2102.03827 (2021) - [i12]Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous GNN. CoRR abs/2112.01317 (2021) - 2020
- [c23]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Self-supervised Hierarchical Graph Neural Network for Graph Representation. IEEE BigData 2020: 603-608 - [c22]Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. IEEE BigData 2020: 669-678 - [c21]Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. ECAI 2020: 976-983 - [c20]Sambaran Bandyopadhyay, Anirban Biswas, Harsh Kara, M. N. Murty:
A Multilayered Informative Random Walk for Attributed Social Network Embedding. ECAI 2020: 1738-1745 - [c19]Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty:
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. WSDM 2020: 25-33 - [i11]Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty:
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. CoRR abs/2002.03392 (2020) - [i10]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization. CoRR abs/2006.04696 (2020) - [i9]Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. CoRR abs/2007.10231 (2020) - [i8]Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
Robust Hierarchical Graph Classification with Subgraph Attention. CoRR abs/2007.10908 (2020) - [i7]Sambaran Bandyopadhyay, Vishal Peter:
Self-Expressive Graph Neural Network for Unsupervised Community Detection. CoRR abs/2011.14078 (2020) - [i6]Anoushka Vyas, Sambaran Bandyopadhyay:
Semi-supervised Soil Moisture Prediction through Graph Neural Networks. CoRR abs/2012.03506 (2020)
2010 – 2019
- 2019
- [c18]Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. AAAI 2019: 12-19 - [i5]Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam:
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. CoRR abs/1912.05140 (2019) - 2018
- [c17]Kumar Saurav, Mohit Jain, Sambaran Bandyopadhyay:
Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Trial in Luleå, Sweden. e-Energy 2018: 266-270 - [c16]Sambaran Bandyopadhyay, Sharad Nandanwar, Rishabh Deshmukh, Narasimha Murty Musti:
DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups. ICPR 2018: 964-969 - [c15]Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty:
A Generic Axiomatic Characterization for Measuring Influence in Social Networks. ICPR 2018: 2606-2611 - [c14]Sambaran Bandyopadhyay, Jagabondhu Hazra, Shivkumar Kalyanaraman:
A machine learning based heating and cooling load forecasting approach for DHC networks. ISGT 2018: 1-5 - [c13]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to control power production from solar photovoltaic panels. ISGT 2018: 1-5 - [i4]Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty:
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks. CoRR abs/1804.05313 (2018) - [i3]Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty:
SaC2Vec: Information Network Representation with Structure and Content. CoRR abs/1804.10363 (2018) - [i2]Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty:
Outlier Aware Network Embedding for Attributed Networks. CoRR abs/1811.07609 (2018) - 2017
- [c12]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to Control Power Production from Solar Panels. e-Energy 2017: 254-255 - [c11]Sambaran Bandyopadhyay, Kalyan Dasgupta, Vijay Arya, Sathyajith Mathew, Iskandarbin Petra, A. Alias:
PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei. e-Energy 2017: 264-265 - [c10]Sambaran Bandyopadhyay, Kalyan Dasgupta, Vijay Arya, Sathyajith Mathew, Iskandarbin Petra, A. Alias:
Energy-Efficiency Potential of Behavioral Initiatives: An Experimental Case Study from Brunei. e-Energy 2017: 360-366 - [i1]Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam:
A Generic Axiomatic Characterization of Centrality Measures in Social Network. CoRR abs/1703.07580 (2017) - 2016
- [c9]Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra:
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid. AAAI 2016: 3800-3806 - [c8]Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Planning Curtailment of Renewable Generation in Power Grids. ICAPS 2016: 353-357 - [c7]Anamitra Roy Choudhury, Ramachandra Kota, Sampath Dechu, Sambaran Bandyopadhyay:
Supply scheduling and usage-based pricing for shared storage in adaptive dynamic islanding. e-Energy 2016: 12:1-12:11 - [c6]Sambaran Bandyopadhyay, M. Narasimha Murty:
Axioms to characterize efficient incremental clustering. ICPR 2016: 450-455 - 2015
- [c5]Sambaran Bandyopadhyay, Tanuja Ganu, Harshad Khadilkar, Vijay Arya:
Individual and Aggregate Electrical Load Forecasting: One for All and All for One. e-Energy 2015: 121-130 - [c4]Sambaran Bandyopadhyay, Ramasuri Narayanam, Ramachandra Kota, Pg Mohammad Iskandarbin Pg Hj Petra, Zainul Charbiwala:
Aggregate Demand-Based Real-Time Pricing Mechanism for the Smart Grid: A Game-Theoretic Analysis. IJCAI 2015: 2554-2560 - [c3]Rajendu Mitra, Ramachandra Kota, Sambaran Bandyopadhyay, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut:
Voltage Correlations in Smart Meter Data. KDD 2015: 1999-2008 - [c2]Sambaran Bandyopadhyay, Ramachandra Kota, Rajendu Mitra, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut:
Machine learning for inferring phase connectivity in distribution networks. SmartGridComm 2015: 91-96 - 2011
- [c1]Sambaran Bandyopadhyay, Ruchira Naskar, Rajat Subhra Chakraborty:
Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform. InfoSecHiComNet 2011: 45-56
Coauthor Index
aka: Narasimha Murty Musti
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