Balaraman Ravindran, Ph.D. - Publications
Affiliations: | University of Massachusetts, Amherst, Amherst, MA |
Area:
Reinforcement LearningYear | Citation | Score | |||
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2020 | Ghose A, Ravindran B. Interpretability With Accurate Small Models. Frontiers in Artificial Intelligence. 3: 3. PMID 33733123 DOI: 10.3389/Frai.2020.00003 | 0.314 | |||
2017 | Ganapathy S, Venkataramani S, Ravindran B, Raghunathan A. DyVEDeep: Dynamic Variable Effort Deep Neural Networks Acm Transactions in Embedded Computing Systems. 19: 1-24. DOI: 10.1145/3372882 | 0.323 | |||
2015 | Chandar S, Khapra MM, Larochelle H, Ravindran B. Correlational Neural Networks. Neural Computation. 1-29. PMID 26654210 DOI: 10.1162/Neco_A_00801 | 0.314 | |||
2015 | Balasubramani PP, Chakravarthy VS, Ravindran B, Moustafa AA. A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making. Frontiers in Computational Neuroscience. 9: 76. PMID 26136679 DOI: 10.3389/Fncom.2015.00076 | 0.32 | |||
2015 | Sankar MV, Ravindran B. Parallelization of game theoretic centrality algorithms Sadhana - Academy Proceedings in Engineering Sciences. 40: 1821-1843. DOI: 10.1007/S12046-015-0425-Z | 0.309 | |||
2013 | Ravindran B. Relativized hierarchical decomposition of Markov decision processes. Progress in Brain Research. 202: 465-88. PMID 23317845 DOI: 10.1016/B978-0-444-62604-2.00023-X | 0.307 | |||
2013 | Michalak TP, Aadithya KV, Szczepanski PL, Ravindran B, Jennings NR. Efficient computation of the shapley value for game-theoretic network centrality Journal of Artificial Intelligence Research. 46: 607-650. DOI: 10.1613/Jair.3806 | 0.32 | |||
2010 | Saravanan M, Ravindran B. Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment Artificial Intelligence and Law. 18: 45-76. DOI: 10.1007/S10506-010-9087-7 | 0.305 | |||
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