Balaraman Ravindran

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Mitesh KhapraIndian Institute of Technology MadrasVerified email at cse.iitm.ac.in
Sarath ChandarAssistant Professor @ Polytechnique Montreal. Mila. Canada CIFAR AI Chair.Verified email at polymtl.ca
V Srinivasa ChakravarthyIndian Institute of Technology MadrasVerified email at iitm.ac.in
Andrew BartoUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Srinivasan ParthasarathyProfessor of Computer Science and Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
Vikas C. RaykarIBM ResearchVerified email at in.ibm.com
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
Aravind SrinivasPhD Student, UC BerkeleyVerified email at cs.berkeley.edu
K Madhava KrishnaProfessor, IIIT HyderabadVerified email at iiit.ac.in
Karthik V AadithyaSandia National LaboratoriesVerified email at sandia.gov
Amrita SahaResearch Scientist, IBM Research IndiaVerified email at in.ibm.com
Nandan SudarsanamAssociate Professor, Indian Institute of Technology-MadrasVerified email at iitm.ac.in
Pragathi Priyadharsini BalasubramaniUniversity of California San DiegoVerified email at ucsd.edu
Shivashankar SubramanianOracleVerified email at oracle.com
Ahmed MoustafaA/Professor at Western Sydney University & Editor-in-chief of Discover Psychology (Springer)Verified email at westernsydney.edu.au
Tomasz MichalakUniversity of WarsawVerified email at mimuw.edu.pl
Nick JenningsVice-Provost (Research and Enterprise), Imperial CollegeVerified email at imperial.ac.uk
Janarthanan RajendranPostdoctoral Fellow at Mila - Quebec Artificial Intelligence Institute and University of MontrealVerified email at umich.edu
Preksha NemaGoogle Research, IndiaVerified email at google.com
Balaji Vasan SrinivasanAdobe Research, IndiaVerified email at adobe.com

Balaraman Ravindran

Professor of Computer Science, Indian Institute of Technology Madras

Verified email at cse.iitm.ac.in - Homepage

Reinforcement Learning Data Mining Social Network Analysis Text Analytics


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An autoencoder approach to learning bilingual word representations S Lauly, H Larochelle, MM Khapra, B Ravindran, V Raykar, A Saha arXiv preprint arXiv:1402.1454, 2014	316	2014
Epopt: Learning robust neural network policies using model ensembles A Rajeswaran, S Ghotra, B Ravindran, S Levine arXiv preprint arXiv:1610.01283, 2016	214	2016
Latent dirichlet allocation based multi-document summarization R Arora, B Ravindran Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008	172	2008
Efficient computation of the Shapley value for game-theoretic network centrality TP Michalak, KV Aadithya, PL Szczepanski, B Ravindran, NR Jennings Journal of Artificial Intelligence Research 46, 607-650, 2013	143	2013
Correlational neural networks S Chandar, MM Khapra, H Larochelle, B Ravindran Neural computation, 2016	132	2016
Accurate mobile robot localization in indoor environments using bluetooth AN Raghavan, H Ananthapadmanaban, MS Sivamurugan, B Ravindran 2010 IEEE international conference on robotics and automation, 4391-4396, 2010	121	2010
Diversity driven attention model for query-based abstractive summarization P Nema, M Khapra, A Laha, B Ravindran arXiv preprint arXiv:1704.08300, 2017	113	2017
SMDP homomorphisms: An algebraic approach to abstraction in semi markov decision processes B Ravindran, AG Barto International Joint Conference on Artificial Intelligence (IJCAI), 1011-1016, 2003	100	2003
Model minimization in hierarchical reinforcement learning B Ravindran, AG Barto International Symposium on Abstraction, Reformulation, and Approximation …, 2002	92	2002
An algebraic approach to abstraction in reinforcement learning B Ravindran University of Massachusetts Amherst, 2004	91	2004
Adaptive network intrusion detection system using a hybrid approach R Rangadurai Karthick, VP Hattiwale, B Ravindran Communication Systems and Networks (COMSNETS), 2012 Fourth International …, 2012	77	2012
A tutorial survey of reinforcement learning S Sathiya Keerthi, B Ravindran Sadhana 19 (6), 851-889, 1994	76	1994
Improving legal information retrieval using an ontological framework M Saravanan, B Ravindran, S Raman Artificial Intelligence and Law 17 (2), 101-124, 2009	72	2009
Latent dirichlet allocation and singular value decomposition based multi-document summarization R Arora, B Ravindran Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on, 713-718, 2008	68	2008
Relativized options: Choosing the right transformation B Ravindran, AG Barto Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003	62	2003
Advances in knowledge discovery and data mining MJ Zaki, JX Yu, B Ravindran, V Pudi Lecture Notes in Computer Science 6118, 2010	59*	2010
Hierarchical activity recognition for dementia care using Markov Logic Network KS Gayathri, S Elias, B Ravindran Personal and Ubiquitous Computing 19 (2), 271-285, 2015	58	2015
Improved switching among temporally abstract actions RSSS Singh, DPB Ravindran NIPS 11, 1999	57	1999
Efficient computation of the shapley value for centrality in networks KV Aadithya, B Ravindran, TP Michalak, NR Jennings International workshop on internet and network economics, 1-13, 2010	55	2010
Learning to repeat: Fine grained action repetition for deep reinforcement learning S Sharma, A Srinivas, B Ravindran arXiv preprint arXiv:1702.06054, 2017	51	2017

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