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Easwar Subramanian
Easwar Subramanian
Senior Scientist
Verified email at tcs.com
Title
Cited by
Cited by
Year
Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition
N Petkov, E Subramanian
Biological Cybernetics 97, 423-439, 2007
1102007
Heteroclinic cycles between unstable attractors
H Broer, K Efstathiou, E Subramanian
Nonlinearity 21 (6), 1385, 2008
272008
Robustness of unstable attractors in arbitrarily sized pulse-coupled networks with delay
H Broer, K Efstathiou, E Subramanian
Nonlinearity 21 (1), 13, 2007
242007
VidyutVanika: A reinforcement learning based broker agent for a power trading competition
S Ghosh, E Subramanian, SP Bhat, S Gujar, P Paruchuri
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 914-921, 2019
202019
Bidding strategy for two-sided electricity markets: A reinforcement learning based framework
BS Pedasingu, E Subramanian, Y Bichpuriya, V Sarangan, N Mahilong
Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020
102020
Bidding in smart grid PDAs: theory, analysis and strategy
S Ghosh, S Gujar, P Paruchuri, E Subramanian, S Bhat
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1974-1981, 2020
82020
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids.
S Chandlekar, BS Pedasingu, E Subramanian, S Bhat, P Paruchuri, ...
IJCAI, 158-164, 2022
72022
LEarn: A reinforcement learning based bidding strategy for generators in single sided energy markets
E Subramanian, Y Bichpuriya, A Achar, S Bhat, AP Singh, V Sarangan, ...
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
72019
Multi-unit double auctions: equilibrium analysis and bidding strategy using DDPG in smart-grids
S Chandlekar, E Subramanian, S Bhat, P Paruchuri, S Gujar
arXiv preprint arXiv:2201.10127, 2022
62022
Vidyutvanika: An autonomous broker agent for smart grid environment
S Ghosh, K Prakash, S Chandlekar, E Subramanian, S Bhat, S Gujar, ...
Policy, Awareness, Sustainability and Systems (PASS) Workshop 7, 2019
52019
Load forecasting in energy markets: An approach using sparse neural networks
N Gugulothu, E Subramanian
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
42019
Explicit solutions of discrete-time quadratic optimal hedging strategies for european contingent claims
E Subramanian, V Chellaboina
2014 IEEE Conference on Computational Intelligence for Financial Engineering …, 2014
42014
Multi-armed Bandit Based Tariff Generation Strategy for Multi-agent Smart Grid Systems
S Chandlekar, E Subramanian, S Gujar
International Workshop on Engineering Multi-Agent Systems, 113-129, 2023
32023
Sparse recurrent mixture density networks for forecasting high variability time series with confidence estimates
N Gugulothu, E Subramanian, SP Bhat
International Conference on Artificial Neural Networks, 422-433, 2019
32019
A Nash Equilibrium Solution for Periodic Double Auctions
B Manvi, E Subramanian
2023 62nd IEEE Conference on Decision and Control (CDC), 209-214, 2023
22023
On accelerating concurrent PCA computations for financial risk applications
A Jain, M Bakshi, A Kalele, E Subramanian
2015 IEEE 22nd International Conference on High Performance Computing (HiPC …, 2015
22015
Discrete-Time Hedging for European Contingent Claims via Risk Minimization in Market Measure
E Subramanian, V Chellaboina, A Bhatia, SP Bhat
Drishtikon: A Management Journal 2 (1), 2010
22010
VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice
S Chandlekar, BS Pedasingu, S Ghosh, E Subramanian, S Bhat, ...
Energy Sustainability through Retail Electricity Markets: The Power Trading …, 2023
12023
Rise of Algorithmic Trading in Today’s Changing Electricity Market
A Pradhan, E Subramanian, S Bhat, P Paruchuri, S Gujar
ISUW 2020: Proceedings of the 6th International Conference and Exhibition on …, 2022
12022
Bidding in smart grid pdas: Theory, analysis and strategy (extended version)
S Ghosh, S Gujar, P Paruchuri, E Subramanian, SP Bhat
arXiv preprint arXiv:1911.08260, 2019
12019
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