Local search heuristic for k-median and facility location problems. - Vijay Arya; Naveen Garg 001; Rohit Khandekar; Adam Meyerson; Kamesh Munagala; Vinayaka Pandit (STOC, 2001)

Accurate and Explicit Differentiation of Wireless and Congestion Losses. - Vijay Arya; Thierry Turletti (ICDCS Workshops, 2003)

Local Search Heuristics for k-Median and Facility Location Problems. - Vijay Arya; Naveen Garg 001; Rohit Khandekar; Adam Meyerson; Kamesh Munagala; Vinayaka Pandit (SIAM J. Comput., 2004)

Encodings of Multicast Trees. - Vijay Arya; Thierry Turletti; Shivkumar Kalyanaraman (NETWORKING, 2005)

A Backup Tree Algorithm for Multicast Overlay Networks. - Torsten Braun; Vijay Arya; Thierry Turletti (NETWORKING, 2005)

Network tomography from aggregate loss reports. - Nick G. Duffield; Vijay Arya; R. Bellino; Timur Friedman; Joseph Horowitz; Donald F. Towsley; Thierry Turletti (Perform. Evaluation, 2005)

Congestion Inference and Traffic Engineering in Networks. (Inférence de congestion et Ingénierie de Trafic dans les Réseaux). - Vijay Arya (2005)

Explicit routing in multicast overlay networks. - Torsten Braun; Vijay Arya; Thierry Turletti (Comput. Commun., 2006)

Multicast inference of temporal loss characteristics. - Vijay Arya; Nick G. Duffield; Darryl Veitch (Perform. Evaluation, 2007)

Temporal Delay Tomography. - Vijay Arya; Nick G. Duffield; Darryl Veitch (INFOCOM, 2008)

CPS-Net: In-network aggregation for synchrophasor applications. - Vijay Arya; Jagabondhu Hazra; Palanivel A. Kodeswaran; Deva P. Seetharam; Nilanjan Banerjee; Shivkumar Kalyanaraman (COMSNETS, 2011)

Phase identification in smart grids. - Vijay Arya; Deva P. Seetharam; Shivkumar Kalyanaraman; Kejitan Dontas; Christopher J. Pavlovski; Steve Hoy; Jayant R. Kalagnanam (SmartGridComm, 2011)

Recovery of a Sparse Integer Solution to an Underdetermined System of Linear Equations - T. S. Jayram; Soumitra Pal 001; Vijay Arya (CoRR, 2011)

nPlug: a smart plug for alleviating peak loads. - Tanuja Ganu; Jagabondhu Hazra; Deva P. Seetharam; Saiful A. Husain; Vijay Arya; Liyanage Chandratilake De Silva; Rajesh Kunnath; Shivkumar Kalyanaraman (e-Energy, 2012)

Sparsity without the Complexity: Loss Localisation Using Tree Measurements. - Vijay Arya; Darryl Veitch (Networking (1), 2012)

On mitigating wind energy variability with storage. - Vijay Arya; Partha Dutta; Shivkumar Kalyanaraman (COMSNETS, 2013)

Evaluating demand response programs by means of key performance indicators. - George A. Thanos; Marilena Minou; Tanuja Ganu; Vijay Arya; Dipanjan Chakraborty 001; Jan van Deventer; George D. Stamoulis (COMSNETS, 2013)

Inferring connectivity model from meter measurements in distribution networks. - Vijay Arya; T. S. Jayram; Soumitra Pal 001; Shivkumar Kalyanaraman (e-Energy, 2013)

Voltage-based clustering to identify connectivity relationships in distribution networks. - Vijay Arya; Rajendu Mitra (SmartGridComm, 2013)

nPlug: An Autonomous Peak Load Controller. - Tanuja Ganu; Deva P. Seetharam; Vijay Arya; Jagabondhu Hazra; Deeksha Sinha; Rajesh Kunnath; Liyanage Chandratilake De Silva; Saiful A. Husain; Shivkumar Kalyanaraman (IEEE J. Sel. Areas Commun., 2013)

Loss localisation in smart distribution networks. - Vijay Arya; Balakrishnan Narayanaswamy (COMSNETS, 2014)

SocketWatch: An autonomous appliance monitoring system. - Tanuja Ganu; Dwi A. P. Rahayu; Deva P. Seetharam; Rajesh Kunnath; Ashok Pon Kumar; Vijay Arya; Saiful A. Husain; Shivkumar Kalyanaraman (PerCom, 2014)

Individual and Aggregate Electrical Load Forecasting: One for All and All for One. - Sambaran Bandyopadhyay; Tanuja Ganu; Harshad Khadilkar; Vijay Arya (e-Energy, 2015)

Using Analytics to Minimize Errors in the Connectivity Model of a Power Distribution Network. - Rajendu Mitra; Vijay Arya; Brian Sullivan; Richard Mueller; Heather Storey; Gerard Labut (e-Energy, 2015)

A context vector regression based approach for demand forecasting in district heating networks. - Subendhu Rongali; Anamitra R. Choudhury; Vikas Chandan; Vijay Arya (ISGT Asia, 2015)

Voltage Correlations in Smart Meter Data. - Rajendu Mitra; Ramachandra Kota; Sambaran Bandyopadhyay; Vijay Arya; Brian Sullivan; Richard Mueller; Heather Storey; Gerard Labut (KDD, 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 (SmartGridComm, 2015)

On Managing Quality of Experience of Multiple Video Streams in Wireless Networks. - Anand Seetharam; Partha Dutta; Vijay Arya; Jim Kurose; Malolan Chetlur; Shivkumar Kalyanaraman (IEEE Trans. Mob. Comput., 2015)

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 (AAAI, 2016)

Planning Curtailment of Renewable Generation in Power Grids. - Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (ICAPS, 2016)

iPlug: Decentralised dispatch of distributed generation. - Subendhu Rongali; Tanuja Ganu; Manikandan Padmanabhan; Vijay Arya; Shivkumar Kalyanaraman; Mohamad Iskandar Petra (COMSNETS, 2016)

Thermally-fair demand response for district heating and cooling (DHC) networks. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (e-Energy, 2016)

Combining data with physics to monitor solar panels. - Nikhil Hooda; Pratyush Kumar; Amar Prakash Azad; Vijay Arya; Mohamad Iskandar Petra (e-Energy (Posters), 2016)

Inferring non-outage events using meter voltage data. - Ramachandra Kota; Vijay Arya; Daniel A. Bowden (e-Energy (Posters), 2016)

Optimizing energy costs of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; A. Kumar; Vikas Chandan; Vijay Arya; Sridhar R; Babitha Ramesh (e-Energy (Posters), 2016)

Software-only occupancy inference in a workplace findings from a field trial. - Mohit Jain; Vikas Chandan; Ashok Pon Kumar; Vijay Arya; Sridhar R; Babitha Ramesh (ISGT, 2016)

Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. - Megha Nawhal; Heena Bansal; Ashok Pon Kumar; Vikas Chandan; Sridhar R; Babitha Ramesh; Sunil Kumar Ghai; Harshad Khadilkar; Deva P. Seetharam; Zainul M. Charbiwala; Vijay Arya; Amith Singhee (ISGT Europe, 2016)

Fairness based Demand Response in DHC networks using real time parameter identification. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (SmartGridComm, 2016)

PV power predictors for condition monitoring. - Nikhil Hooda; Amar P. Azad; Pratyush Kumar; Kumar Saurav; Vijay Arya; M. Iskandar Petra (SmartGridComm, 2016)

Minimizing energy costs of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; Vikas Chandan; Vijay Arya (SmartGridComm, 2016)

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 (e-Energy, 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 (e-Energy, 2017)

DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (e-Energy, 2017)

Algorithm to Control Power Production from Solar Panels. - Kumar Saurav; Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (e-Energy, 2017)

Blue Skies: A Methodology for Data-Driven Clear Sky Modelling. - Kartik Palani; Ramachandra Kota; Amar Prakash Azad; Vijay Arya (IJCAI, 2017)

Leveraging DERs to improve the inference of distribution network topology. - Pratyush Kumar; Vijay Arya; Daniel A. Bowden; Larry Kohrmann (SmartGridComm, 2017)

Algorithmic approach to minimize the energy cost of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; Vijay Arya; Vikas Chandan (SmartGridComm, 2017)

Model Extraction Warning in MLaaS Paradigm. - Manish Kesarwani; Bhaskar Mukhoty; Vijay Arya; Sameep Mehta (ACSAC, 2018)

Minimizing energy costs of commercial buildings by integrating demand side and supply side strategies. - Kumar Saurav; Vijay Arya (e-Energy, 2018)

A data lens into MPPT efficiency and PV power prediction. - Amar Prakash Azad; Manikandan Padmanaban; Vijay Arya (ISGT, 2018)

Algorithm to control power production from solar photovoltaic panels. - Kumar Saurav; Sambaran Bandyopadhyay; Pratyush Kumar; Vijay Arya (ISGT, 2018)

Optimal pre-cooling time: A closed form analysis. - Kumar Saurav; Arun Vishwanath; Vikas Chandan; Vijay Arya (ISGT, 2018)

Ownership Preserving AI Market Places Using Blockchain. - Nishant Baranwal Somy; Kalapriya Kannan; Vijay Arya; Sandeep Hans; Abhishek Singh; Pranay Lohia; Sameep Mehta (Blockchain, 2019)

Efficient Management of Building Energy Resources. - Kumar Saurav; Vijay Arya (COMSNETS, 2019)

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (CoRR, 2019)

Blockchain Enabled Trustless API Marketplace. - Vijay Arya; Sayandeep Sen; Palanivel A. Kodeswaran (COMSNETS, 2020)

AI explainability 360: hands-on tutorial. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (FAT*, 2020)

Fair Transfer of Multiple Style Attributes in Text. - Karan Dabas; Nishtha Madaan; Vijay Arya; Sameep Mehta; Gautam Singh; Tanmoy Chakraborty 002 (CoRR, 2020)

AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (J. Mach. Learn. Res., 2020)

Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models. - Qing Wang 016; Larisa Shwartz; Genady Ya. Grabarnik; Vijay Arya; Karthikeyan Shanmugam (CLOUD, 2021)

AI Explainability 360 Toolkit. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (COMAD/CODS, 2021)

Evaluation of Causal Inference Techniques for AIOps. - Vijay Arya; Karthikeyan Shanmugam; Pooja Aggarwal; Qing Wang 016; Prateeti Mohapatra; Seema Nagar (COMAD/CODS, 2021)

AI Explainability 360: Impact and Design. - Vijay Arya; Rachel K. E. Bellamy; Pin-Yu Chen; Amit Dhurandhar; Michael Hind; Samuel C. Hoffman; Stephanie Houde; Q. Vera Liao; Ronny Luss; Aleksandra Mojsilovic; Sami Mourad; Pablo Pedemonte; et al. (AAAI, 2022)

Global Explanations for Multivariate time series models. - Vijay Arya; Diptikalyan Saha; Sandeep Hans; Amaresh Rajasekharan; Tony Tang (COMAD/CODS, 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 (KDD, 2023)

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. - Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Kartik Ahuja; Vijay Arya (NeurIPS, 2023)