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Balaraman Ravindran
Balaraman Ravindran
Professor of Computer Science, Indian Institute of Technology Madras
Bestätigte E-Mail-Adresse bei cse.iitm.ac.in - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Epopt: Learning robust neural network policies using model ensembles
A Rajeswaran, S Ghotra, B Ravindran, S Levine
arXiv preprint arXiv:1610.01283, 2016
3822016
An autoencoder approach to learning bilingual word representations
S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ...
Advances in neural information processing systems 27, 2014
3782014
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
1962013
Latent dirichlet allocation based multi-document summarization
R Arora, B Ravindran
Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008
1942008
Diversity driven attention model for query-based abstractive summarization
P Nema, M Khapra, A Laha, B Ravindran
arXiv preprint arXiv:1704.08300, 2017
1892017
Correlational neural networks
S Chandar, MM Khapra, H Larochelle, B Ravindran
Neural computation, 2016
1812016
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
1472010
An algebraic approach to abstraction in reinforcement learning
B Ravindran
University of Massachusetts Amherst, 2004
1202004
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
1202003
Model minimization in hierarchical reinforcement learning
B Ravindran, AG Barto
Abstraction, Reformulation, and Approximation: 5th International Symposium …, 2002
1032002
Learning to repeat: Fine grained action repetition for deep reinforcement learning
S Sharma, A Srinivas, B Ravindran
arXiv preprint arXiv:1702.06054, 2017
962017
Improving legal information retrieval using an ontological framework
M Saravanan, B Ravindran, S Raman
Artificial Intelligence and Law 17, 101-124, 2009
922009
A tutorial survey of reinforcement learning
S Sathiya Keerthi, B Ravindran
Sadhana 19 (6), 851-889, 1994
881994
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
852012
Commit: A scalable approach to mining communication motifs from dynamic networks
S Gurukar, S Ranu, B Ravindran
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
812015
Towards transparent and explainable attention models
AK Mohankumar, P Nema, S Narasimhan, MM Khapra, BV Srinivasan, ...
arXiv preprint arXiv:2004.14243, 2020
782020
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
752008
Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain
J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran
arXiv preprint arXiv:1510.02879, 2015
72*2015
Hierarchical activity recognition for dementia care using Markov Logic Network
KS Gayathri, S Elias, B Ravindran
Personal and Ubiquitous Computing 19, 271-285, 2015
722015
A system approach to network modeling for DDoS detection using a Naive Bayesian classifier
R Vijayasarathy, SV Raghavan, B Ravindran
2011 Third International Conference on Communication Systems and Networks …, 2011
712011
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