Easwar Subramanian
Easwar Subramanian
Senior Scientist
Geverifieerd e-mailadres voor tcs.com
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Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition
N Petkov, E Subramanian
Biological Cybernetics 97 (5), 423-439, 2007
912007
Heteroclinic cycles between unstable attractors
H Broer, K Efstathiou, E Subramanian
Nonlinearity 21 (6), 1385, 2008
262008
Robustness of unstable attractors in arbitrarily sized pulse-coupled networks with delay
H Broer, K Efstathiou, E Subramanian
Nonlinearity 21 (1), 13, 2007
232007
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
82019
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
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
22019
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
22019
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
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
12020
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
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
2020
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
2019
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
2019
Performance Evaluation of Discrete-time Hedging Strategies for European Contingent Claims
E Subramanian, V Chellaboina, A Jain
2016 International Conference on Industrial Engineering, Management Science …, 2016
2016
Explicit Solutions of Discrete-time Hedging Strategies for Multi-Asset Options
E Subramanian, V Chellaboina, A Jain
2016 International Conference on Industrial Engineering, Management Science …, 2016
2016
Discrete-time quadratic-optimal hedging strategies for european contingent claims
E Subramanian, SP Bhat
2015 IEEE Symposium Series on Computational Intelligence, 1786-1793, 2015
2015
Discrete-Time Quadratic-Optimal Hedging for European Contingent Claims
E Subramanian, SP Bhat
Available at SSRN 2631004, 2015
2015
Attractor switching in neuron networks and spatiotemporal filters for motion processing
EN Subramanian
University Library Groningen][Host], 2008
2008
Accelerating PCA for applications in finance using cuBLAS
A Jain, E Subramanian, A Kalele
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Artikelen 1–20