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Vijay Arya
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- affiliation: IBM Research, Bangalore, India
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2020 – today
- 2023
- [c56]Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang:
Global Explanations for Multivariate time series models. COMAD/CODS 2023: 149-157 - [c55]Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín:
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases. KDD 2023: 5777-5778 - [c54]Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya:
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. NeurIPS 2023 - 2022
- [c53]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657 - [i9]Amit Dhurandhar, Karthikeyan Ramamurthy, Kartik Ahuja, Vijay Arya:
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. CoRR abs/2201.12143 (2022) - 2021
- [c52]Qing Wang, Larisa Shwartz, Genady Ya. Grabarnik, Vijay Arya, Karthikeyan Shanmugam:
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models. CLOUD 2021: 558-565 - [c51]Vijay Arya, Karthikeyan Shanmugam, Pooja Aggarwal, Qing Wang, Prateeti Mohapatra, Seema Nagar:
Evaluation of Causal Inference Techniques for AIOps. COMAD/CODS 2021: 188-192 - [c50]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379 - [i8]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. CoRR abs/2109.12151 (2021) - 2020
- [j7]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21: 130:1-130:6 (2020) - [c49]Vijay Arya, Sayandeep Sen, Palanivel A. Kodeswaran:
Blockchain Enabled Trustless API Marketplace. COMSNETS 2020: 731-735 - [c48]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI explainability 360: hands-on tutorial. FAT* 2020: 696 - [i7]Karan Dabas, Nishtha Madaan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty:
Fair Transfer of Multiple Style Attributes in Text. CoRR abs/2001.06693 (2020) - [i6]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership preserving AI Market Places using Blockchain. CoRR abs/2001.09011 (2020)
2010 – 2019
- 2019
- [c47]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership Preserving AI Market Places Using Blockchain. Blockchain 2019: 156-165 - [c46]Kumar Saurav, Vijay Arya:
Efficient Management of Building Energy Resources. COMSNETS 2019: 56-63 - [i5]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, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR abs/1909.03012 (2019) - 2018
- [c45]Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta:
Model Extraction Warning in MLaaS Paradigm. ACSAC 2018: 371-380 - [c44]Kumar Saurav, Vijay Arya:
Minimizing energy costs of commercial buildings by integrating demand side and supply side strategies. e-Energy 2018: 386-387 - [c43]Amar Prakash Azad, Manikandan Padmanaban, Vijay Arya:
A data lens into MPPT efficiency and PV power prediction. ISGT 2018: 1-5 - [c42]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to control power production from solar photovoltaic panels. ISGT 2018: 1-5 - [c41]Kumar Saurav, Arun Vishwanath, Vikas Chandan, Vijay Arya:
Optimal pre-cooling time: A closed form analysis. ISGT 2018: 1-5 - [i4]Vijay Arya, Sayandeep Sen, Palanivel A. Kodeswaran:
Blockchain Enabled Trustless API Marketplace. CoRR abs/1812.02154 (2018) - 2017
- [c40]Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Algorithm to Control Power Production from Solar Panels. e-Energy 2017: 254-255 - [c39]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 - [c38]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks. e-Energy 2017: 353-359 - [c37]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 - [c36]Kartik Palani, Ramachandra Kota, Amar Prakash Azad, Vijay Arya:
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling. IJCAI 2017: 3777-3783 - [c35]Pratyush Kumar, Vijay Arya, Daniel A. Bowden, Larry Kohrmann:
Leveraging DERs to improve the inference of distribution network topology. SmartGridComm 2017: 52-57 - [c34]Kumar Saurav, Heena Bansal, Megha Nawhal, Vijay Arya, Vikas Chandan:
Algorithmic approach to minimize the energy cost of commercial buildings in developing countries. SmartGridComm 2017: 393-398 - [i3]Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta:
Model Extraction Warning in MLaaS Paradigm. CoRR abs/1711.07221 (2017) - 2016
- [c33]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 - [c32]Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya:
Planning Curtailment of Renewable Generation in Power Grids. ICAPS 2016: 353-357 - [c31]Subendhu Rongali, Tanuja Ganu, Manikandan Padmanabhan, Vijay Arya, Shivkumar Kalyanaraman, Mohamad Iskandar Petra:
iPlug: Decentralised dispatch of distributed generation. COMSNETS 2016: 1-8 - [c30]Ramachandra Kota, Vijay Arya, Daniel A. Bowden:
Inferring non-outage events using meter voltage data. e-Energy (Posters) 2016: 4:1-4:2 - [c29]Kumar Saurav, Heena Bansal, Megha Nawhal, A. Kumar, Vikas Chandan, Vijay Arya, Sridhar R, Babitha Ramesh:
Optimizing energy costs of commercial buildings in developing countries. e-Energy (Posters) 2016: 5:1-5:2 - [c28]Nikhil Hooda, Pratyush Kumar, Amar Prakash Azad, Vijay Arya, Mohamad Iskandar Petra:
Combining data with physics to monitor solar panels. e-Energy (Posters) 2016: 7:1-7:2 - [c27]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
Thermally-fair demand response for district heating and cooling (DHC) networks. e-Energy 2016: 15:1-15:11 - [c26]Mohit Jain, Vikas Chandan, Ashok Pon Kumar, Vijay Arya, Sridhar R, Babitha Ramesh:
Software-only occupancy inference in a workplace findings from a field trial. ISGT 2016: 1-5 - [c25]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:
Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe 2016: 1-6 - [c24]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
Fairness based Demand Response in DHC networks using real time parameter identification. SmartGridComm 2016: 32-37 - [c23]Nikhil Hooda, Amar P. Azad, Pratyush Kumar, Kumar Saurav, Vijay Arya, M. Iskandar Petra:
PV power predictors for condition monitoring. SmartGridComm 2016: 212-217 - [c22]Kumar Saurav, Heena Bansal, Megha Nawhal, Vikas Chandan, Vijay Arya:
Minimizing energy costs of commercial buildings in developing countries. SmartGridComm 2016: 637-642 - 2015
- [j6]Anand Seetharam, Partha Dutta, Vijay Arya, Jim Kurose, Malolan Chetlur, Shivkumar Kalyanaraman:
On Managing Quality of Experience of Multiple Video Streams in Wireless Networks. IEEE Trans. Mob. Comput. 14(3): 619-631 (2015) - [c21]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 - [c20]Rajendu Mitra, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut:
Using Analytics to Minimize Errors in the Connectivity Model of a Power Distribution Network. e-Energy 2015: 179-188 - [c19]Subendhu Rongali, Anamitra R. Choudhury, Vikas Chandan, Vijay Arya:
A context vector regression based approach for demand forecasting in district heating networks. ISGT Asia 2015: 1-6 - [c18]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 - [c17]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 - 2014
- [c16]Vijay Arya, Balakrishnan Narayanaswamy:
Loss localisation in smart distribution networks. COMSNETS 2014: 1-8 - [c15]Tanuja Ganu, Dwi A. P. Rahayu, Deva P. Seetharam, Rajesh Kunnath, Ashok Pon Kumar, Vijay Arya, Saiful A. Husain, Shivkumar Kalyanaraman:
SocketWatch: An autonomous appliance monitoring system. PerCom 2014: 38-43 - 2013
- [j5]Tanuja Ganu, Deva P. Seetharam, Vijay Arya, Jagabondhu Hazra, Deeksha Sinha, Rajesh Kunnath, Liyanage Chandratilake De Silva, Saiful A. Husain, Shivkumar Kalyanaraman:
nPlug: An Autonomous Peak Load Controller. IEEE J. Sel. Areas Commun. 31(7): 1205-1218 (2013) - [c14]Vijay Arya, Partha Dutta, Shivkumar Kalyanaraman:
On mitigating wind energy variability with storage. COMSNETS 2013: 1-9 - [c13]George A. Thanos, Marilena Minou, Tanuja Ganu, Vijay Arya, Dipanjan Chakraborty, Jan van Deventer, George D. Stamoulis:
Evaluating demand response programs by means of key performance indicators. COMSNETS 2013: 1-6 - [c12]Vijay Arya, T. S. Jayram, Soumitra Pal, Shivkumar Kalyanaraman:
Inferring connectivity model from meter measurements in distribution networks. e-Energy 2013: 173-182 - [c11]Vijay Arya, Rajendu Mitra:
Voltage-based clustering to identify connectivity relationships in distribution networks. SmartGridComm 2013: 7-12 - 2012
- [c10]Tanuja Ganu, Jagabondhu Hazra, Deva P. Seetharam, Saiful A. Husain, Vijay Arya, Liyanage Chandratilake De Silva, Rajesh Kunnath, Shivkumar Kalyanaraman:
nPlug: a smart plug for alleviating peak loads. e-Energy 2012: 30 - [c9]Partha Dutta, Anand Seetharam, Vijay Arya, Malolan Chetlur, Shivkumar Kalyanaraman, Jim Kurose:
On managing quality of experience of multiple video streams in wireless networks. INFOCOM 2012: 1242-1250 - [c8]Vijay Arya, Darryl Veitch:
Sparsity without the Complexity: Loss Localisation Using Tree Measurements. Networking (1) 2012: 289-303 - 2011
- [c7]Vijay Arya, Jagabondhu Hazra, Palanivel A. Kodeswaran, Deva P. Seetharam, Nilanjan Banerjee, Shivkumar Kalyanaraman:
CPS-Net: In-network aggregation for synchrophasor applications. COMSNETS 2011: 1-8 - [c6]Vijay Arya, Deva P. Seetharam, Shivkumar Kalyanaraman, Kejitan Dontas, Christopher J. Pavlovski, Steve Hoy, Jayant R. Kalagnanam:
Phase identification in smart grids. SmartGridComm 2011: 25-30 - [i2]Vijay Arya, Darryl Veitch:
Sparsity without the Complexity: Loss Localisation using Tree Measurements. CoRR abs/1108.1377 (2011) - [i1]T. S. Jayram, Soumitra Pal, Vijay Arya:
Recovery of a Sparse Integer Solution to an Underdetermined System of Linear Equations. CoRR abs/1112.1757 (2011)
2000 – 2009
- 2008
- [c5]Vijay Arya, Nick G. Duffield, Darryl Veitch:
Temporal Delay Tomography. INFOCOM 2008: 276-280 - 2007
- [j4]Vijay Arya, Nick G. Duffield, Darryl Veitch:
Multicast inference of temporal loss characteristics. Perform. Evaluation 64(9-12): 1169-1180 (2007) - 2006
- [j3]Torsten Braun, Vijay Arya, Thierry Turletti:
Explicit routing in multicast overlay networks. Comput. Commun. 29(12): 2201-2216 (2006) - 2005
- [b1]Vijay Arya:
Congestion Inference and Traffic Engineering in Networks. (Inférence de congestion et Ingénierie de Trafic dans les Réseaux). University of Nice Sophia Antipolis, France, 2005 - [j2]Nick G. Duffield, Vijay Arya, R. Bellino, Timur Friedman, Joseph Horowitz, Donald F. Towsley, Thierry Turletti:
Network tomography from aggregate loss reports. Perform. Evaluation 62(1-4): 147-163 (2005) - [c4]Vijay Arya, Thierry Turletti, Shivkumar Kalyanaraman:
Encodings of Multicast Trees. NETWORKING 2005: 992-1004 - [c3]Torsten Braun, Vijay Arya, Thierry Turletti:
A Backup Tree Algorithm for Multicast Overlay Networks. NETWORKING 2005: 1430-1434 - 2004
- [j1]Vijay Arya, Naveen Garg, Rohit Khandekar, Adam Meyerson, Kamesh Munagala, Vinayaka Pandit:
Local Search Heuristics for k-Median and Facility Location Problems. SIAM J. Comput. 33(3): 544-562 (2004) - 2003
- [c2]Vijay Arya, Thierry Turletti:
Accurate and Explicit Differentiation of Wireless and Congestion Losses. ICDCS Workshops 2003: 877-882 - 2001
- [c1]Vijay Arya, Naveen Garg, Rohit Khandekar, Adam Meyerson, Kamesh Munagala, Vinayaka Pandit:
Local search heuristic for k-median and facility location problems. STOC 2001: 21-29
Coauthor Index
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