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Semantic ScholarBalaraman Ravindran
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- affiliation: Indian Institute of Technology Madras
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2010 – today
- 2017
[c76]Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Action Repetition for Deep Reinforcement Learning. AAAI 2017: 2133-2139- [c75]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven attention model for query-based abstractive summarization. ACL (1) 2017: 1063-1072 - [c74]Vignesh Prasad, Rishabh Jangir, Balaraman Ravindran, K. Madhava Krishna:
Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning. AAMAS 2017: 1697-1699 - [c73]Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy:
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. ICDE 2017: 771-782 - [c72]Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Thresholding Bandits with Augmented UCB. IJCAI 2017: 2515-2521 - [i24]Sahil Sharma, Balaraman Ravindran:
Online Multi-Task Learning Using Active Sampling. CoRR abs/1702.06053 (2017) - [i23]Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran:
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. CoRR abs/1702.06054 (2017) - [i22]Sanjay Ganapathy, Swagath Venkataramani, Balaraman Ravindran, Anand Raghunathan:
DyVEDeep: Dynamic Variable Effort Deep Neural Networks. CoRR abs/1704.01137 (2017) - [i21]Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Thresholding Bandits with Augmented UCB. CoRR abs/1704.02281 (2017) - [i20]Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven Attention Model for Query-based Abstractive Summarization. CoRR abs/1704.08300 (2017) - [i19]Sahil Sharma, Aravind Suresh, Rahul Ramesh, Balaraman Ravindran:
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning. CoRR abs/1705.07269 (2017) - [i18]Sahil Sharma, Srivatsan Ramesh, Girish Raguvir J, Balaraman Ravindran:
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning. CoRR abs/1705.07445 (2017) - [i17]Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
RAIL: Risk-Averse Imitation Learning. CoRR abs/1707.06658 (2017) - 2016
- [j10]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. Neural Computation 28(2): 257-285 (2016) - [c71]Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam:
Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). AAAI 2016: 4212- - [c70]Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam:
HEMI: Hyperedge Majority Influence Maximization. SocInf@IJCAI 2016: 38-47 - [c69]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL 2016: 171-181 - [e4]Amol Deshpande, Balaraman Ravindran, Sayan Ranu:
21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016. Computer Society of India 2016 [contents] - [i16]Nandan Sudarsanam, Balaraman Ravindran:
Linear Bandit algorithms using the Bootstrap. CoRR abs/1605.01185 (2016) - [i15]Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran:
Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. CoRR abs/1605.05359 (2016) - [i14]Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran:
Dynamic Frame skip Deep Q Network. CoRR abs/1605.05365 (2016) - [i13]Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam:
HEMI: Hyperedge Majority Influence Maximization. CoRR abs/1606.05065 (2016) - [i12]Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, K. Madhava Krishna:
SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning. CoRR abs/1607.07558 (2016) - [i11]Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, Balaraman Ravindran:
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles. CoRR abs/1610.01283 (2016) - [i10]Sai Praveen Bangaru, J. S. Suhas, Balaraman Ravindran:
Exploration for Multi-task Reinforcement Learning with Deep Generative Models. CoRR abs/1611.09894 (2016) - 2015
- [j9]Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa:
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making. Front. Comput. Neurosci. 2015 (2015) - [j8]K. S. Gayathri, Susan Elias, Balaraman Ravindran:
Hierarchical activity recognition for dementia care using Markov Logic Network. Personal and Ubiquitous Computing 19(2): 271-285 (2015) - [c68]Ramakumar Pasumarthi, Ramasuri Narayanam, Balaraman Ravindran:
Near Optimal Strategies for Targeted Marketing in Social Networks. AAMAS 2015: 1679-1680 - [c67]Sangameshwar Patil, Balaraman Ravindran:
Active Learning Based Weak Supervision for Textual Survey Response Classification. CICLing (2) 2015: 309-320 - [c66]
- [c65]Subendhu Rongali, A. P. Sarath Chandar, Balaraman Ravindran:
From multiple views to single view: a neural network approach. CODS 2015: 104-109 - [c64]Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh:
Nonparametric Poisson Factorization Machine. ICDM 2015: 967-972 - [c63]Vishnu Sankar, Balaraman Ravindran, S. Shivashankar:
CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks. IJCAI 2015: 2097-2103 - [c62]Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran:
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning. IJCAI 2015: 3791-3797 - [c61]Avijit Saha, Rishabh Misra, Balaraman Ravindran:
Scalable Bayesian Matrix Factorization. MUSE@PKDD/ECML 2015: 43-54 - [c60]Saket Gurukar, Sayan Ranu, Balaraman Ravindran:
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference 2015: 475-489 - [i9]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. CoRR abs/1504.07225 (2015) - [i8]Abhinav Garlapati, Aditi Raghunathan, Vaishnavh Nagarajan, Balaraman Ravindran:
A Reinforcement Learning Approach to Online Learning of Decision Trees. CoRR abs/1507.06923 (2015) - [i7]P. Prasanna, Sarath Chandar, Balaraman Ravindran:
TSEB: More Efficient Thompson Sampling for Policy Learning. CoRR abs/1510.02874 (2015) - [i6]Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra:
ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR abs/1510.02879 (2015) - [i5]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR abs/1510.03519 (2015) - 2014
- [j7]Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa:
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning. Front. Comput. Neurosci. 2014 (2014) - [c59]Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran:
Multi-label collective classification in multi-attribute multi-relational network data. ASONAM 2014: 509-514 - [c58]
- [c57]Sai Nageswar Satchidanand, Siddharth Kumar Jain, Amit Maurya, Balaraman Ravindran:
Studying Indian Railways Network using hypergraphs. COMSNETS 2014: 1-6 - [c56]Manimaran Sivasamy Sivamurugan, Balaraman Ravindran:
RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees. ICRA 2014: 4362-4367 - [c55]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS 2014: 1853-1861 - [c54]Addwiteey Chrungoo, Manimaran Sivasamy Sivamurugan, Balaraman Ravindran:
Activity Recognition for Natural Human Robot Interaction. ICSR 2014: 84-94 - [e3]Balaraman Ravindran, Kamalakar Karlapalem:
Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014. ACM 2014, ISBN 978-1-4503-2475-5 [contents] - [i4]Tomasz Pawel Michalak, Aadithya V. Karthik, Piotr L. Szczepanski, Balaraman Ravindran, Nicholas R. Jennings:
Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality. CoRR abs/1402.0567 (2014) - [i3]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR abs/1402.1454 (2014) - [i2]Pratik Vinay Gupte, Balaraman Ravindran:
Scalable Positional Analysis for Studying Evolution of Nodes in Networks. CoRR abs/1402.3797 (2014) - 2013
- [j6]Tomasz P. Michalak, Aadithya V. Karthik, Piotr L. Szczepanski, Balaraman Ravindran, Nicholas R. Jennings:
Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality. J. Artif. Intell. Res. 46: 607-650 (2013) - [c53]Deepak Pai, Balaraman Ravindran, Shyam Rajagopalan, Ramesh Srinivasaraghavan:
Automated faceted reporting for web analytics. Web-KRM@CIKM 2013: 9-16 - [c52]Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Vineet Gupta, Shriram Revankar, Balaraman Ravindran:
Will your facebook post be engaging? UEO@CIKM 2013: 25-28 - [c51]Lakshmi Ramachandran, Balaraman Ravindran, Edward F. Gehringer:
Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach. EDM 2013: 346-347 - [c50]Debarun Kar, Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran:
iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer. ICCBR 2013: 203-217 - [c49]Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran:
Detection of Real-Time Intentions from Micro-blogs. MobiQuitous 2013: 116-128 - [c48]Swapna Raj Prabakara Raj, Balaraman Ravindran:
Incremental Constrained Clustering: A Decision Theoretic Approach. PAKDD Workshops 2013: 475-486 - 2012
- [c47]Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran:
Learning in a small world. AAMAS 2012: 391-397 - [c46]Saradindu Kar, Deepak Vijayakeerthi, Ashish V. Tendulkar, Balaraman Ravindran:
Functional site prediction by exploiting correlations between labels of interacting residues. BCB 2012: 76-83 - [c45]R. Rangadurai Karthick, Vipul P. Hattiwale, Balaraman Ravindran:
Adaptive network intrusion detection system using a hybrid approach. COMSNETS 2012: 1-7 - [c44]Pradyot Korupolu V. N., Manimaran Sivasamy Sivamurugan, Balaraman Ravindran:
Instructing a Reinforcement Learner. FLAIRS Conference 2012 - [c43]Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy:
Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. ICANN (1) 2012: 467-473 - [c42]Debarun Kar, Sutanu Chakraborti, Balaraman Ravindran:
Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems. ICCBR 2012: 211-225 - [c41]Jose Nunez-Varela, Balaraman Ravindran, Jeremy L. Wyatt:
Where do i look now? Gaze allocation during visually guided manipulation. ICRA 2012: 4444-4449 - [c40]Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran:
Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions. ICWSM 2012 - [c39]Jose Nunez-Varela, Balaraman Ravindran, Jeremy L. Wyatt:
Gaze Allocation Analysis for a Visually Guided Manipulation Task. SAB 2012: 44-53 - [i1]Ananda Narayanan B., Balaraman Ravindran:
Fractional Moments on Bandit Problems. CoRR abs/1202.3750 (2012) - 2011
- [j5]S. Shivashankar, S. Srivathsan, Balaraman Ravindran, Ashish V. Tendulkar:
Multi-view methods for protein structure comparison using latent dirichlet allocation. Bioinformatics [ISMB/ECCB] 27(13): 61-68 (2011) - [j4]K. N. Magdoom, Deepak Subramanian, V. Srinivasa Chakravarthy, Balaraman Ravindran, Shun-ichi Amari, N. Meenakshisundaram:
Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements. Neural Computation 23(2): 477-516 (2011) - [c38]Rajagopalan Vijayasarathy, Serugudi Venkataraman Raghavan, Balaraman Ravindran:
A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier. COMSNETS 2011: 1-10 - [c37]
- [c36]Ankit Malpani, Balaraman Ravindran, Hema Murthy:
Personalized Intelligent Tutoring System Using Reinforcement Learning. FLAIRS Conference 2011 - [c35]
- [c34]
- 2010
- [j3]M. Saravanan, Balaraman Ravindran:
Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment. Artif. Intell. Law 18(1): 45-76 (2010) - [c33]Aadithya V. Karthik, Balaraman Ravindran:
Game theoretic network centrality: exact formulas and efficient algorithms. AAMAS 2010: 1459-1460 - [c32]S. Shivashankar, Balaraman Ravindran:
Multi Grain Sentiment Analysis using Collective Classification. ECAI 2010: 823-828 - [c31]
- [c30]Yousuf Aboobaker Sait, Balaraman Ravindran:
Visual Object Detection using Frequent Pattern Mining. FLAIRS Conference 2010 - [c29]Maya Manaithunai, V. Srinivasa Chakravarthy, Balaraman Ravindran:
An Oscillatory Neural Network Model for Birdsong Learning and Generation. ICANN (2) 2010: 210-215 - [c28]Aswin N. Raghavan, Harini Ananthapadmanaban, Manimaran Sivasamy Sivamurugan, Balaraman Ravindran:
Accurate mobile robot localization in indoor environments using bluetooth. ICRA 2010: 4391-4396 - [c27]Balaji Lakshmanan, Balaraman Ravindran:
Transfer learning across heterogeneous robots with action sequence mapping. IROS 2010: 3251-3256 - [c26]Aadithya V. Karthik, Balaraman Ravindran, Tomasz P. Michalak, Nicholas R. Jennings:
Efficient Computation of the Shapley Value for Centrality in Networks. WINE 2010: 1-13 - [e2]Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I. Lecture Notes in Computer Science 6118, Springer 2010, ISBN 978-3-642-13656-6 [contents] - [e1]Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II. Lecture Notes in Computer Science 6119, Springer 2010, ISBN 978-3-642-13671-9 [contents]
2000 – 2009
- 2009
- [j2]M. Saravanan, Balaraman Ravindran, S. Raman:
Improving legal information retrieval using an ontological framework. Artif. Intell. Law 17(2): 101-124 (2009) - [c25]Jyotika Bahuguna, Balaraman Ravindran, K. Madhava Krishna:
MDP based active localization for multiple robots. CASE 2009: 635-640 - [c24]Kiran Kate, Balaraman Ravindran:
Epsilon Equitable Partition: A positional analysis method for large social networks. COMAD 2009 - 2008
- [c23]Swapna Raj Prabakara Raj, Balaraman Ravindran:
Personalized Web-page Rendering System. COMAD 2008: 30-39 - [c22]Sriram Raghavan, Balaraman Ravindran:
Successive refinement algorithms for distributed area coverage using mobile robots. Bangalore Compute Conf. 2008: 20 - [c21]Aniket Ray, Vikas Kumar, Balaraman Ravindran, Lingam Gopal, Aditya Verma:
Machine Learning to Predict the Incidence of Retinopathy of Prematurity. FLAIRS Conference 2008: 300-305 - [c20]P. Swaminathan, Balaraman Ravindran:
Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data. FLAIRS Conference 2008: 320-321 - [c19]Rachit Arora, Balaraman Ravindran:
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization. ICDM 2008: 713-718 - [c18]Shravan Matthur Narayanamurthy, Balaraman Ravindran:
On the hardness of finding symmetries in Markov decision processes. ICML 2008: 688-695 - [c17]Dinakar Jayarajan, Dipti Deodhare, Balaraman Ravindran:
Lexical Chains as Document Features. IJCNLP 2008: 111-117 - [c16]M. Saravanan, Balaraman Ravindran, S. Raman:
Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization. IJCNLP 2008: 481-488 - [c15]Rachit Arora, Balaraman Ravindran:
Latent dirichlet allocation based multi-document summarization. AND 2008: 91-97 - 2007
- [c14]Sriram Raghavan, Balaraman Ravindran:
Profiling Pseudonet Architecture for Coordinating Mobile Robots. COMSWARE 2007 - [c13]B. H. Sreenivasa Sarma, Balaraman Ravindran:
Intelligent Tutoring Systems using Reinforcement Learning to teach Autistic Students. HOIT 2007: 65-78 - [c12]
- [c11]Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran:
Image Modeling Using Tree Structured Conditional Random Fields. IJCAI 2007: 2060-2065 - [c10]Shravan Matthur Narayanamurthy, Balaraman Ravindran:
Efficiently Exploiting Symmetries in Real Time Dynamic Programming. IJCAI 2007: 2556-2561 - [c9]M. Saravanan, Balaraman Ravindran, S. Raman:
Using Legal Ontology for Query Enhancement in Generating a Document Summary. JURIX 2007: 171-172 - [c8]Sriram Raghavan, Balaraman Ravindran:
Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage. SARA 2007: 300-313 - 2006
- [j1]M. Saravanan, S. Raman, Balaraman Ravindran:
A Probabilistic Approach to Multi-Document Summarization for Generating a Tiled Summary. International Journal of Computational Intelligence and Applications 6(2): 231-243 (2006) - [c7]Aakanksha Gagrani, Lalit Gupta, Balaraman Ravindran, Sukhendu Das, Pinaki Roychowdhury, V. K. Panchal:
A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy. ICVGIP 2006: 140-151 - [c6]M. Saravanan, Balaraman Ravindran, S. Raman:
Improving Legal Document Summarization Using Graphical Models. JURIX 2006: 51-60 - 2005
- [c5]R. Manimegalai, E. Siva Soumya, V. Muralidharan, Balaraman Ravindran, V. Kamakoti, D. Bhatia:
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines. VLSI Design 2005: 451-456 - 2003
- [c4]Balaraman Ravindran, Andrew G. Barto:
Relativized Options: Choosing the Right Transformation. ICML 2003: 608-615 - [c3]Balaraman Ravindran, Andrew G. Barto:
SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes. IJCAI 2003: 1011-1018 - 2002
- [c2]Balaraman Ravindran, Andrew G. Barto:
Model Minimization in Hierarchical Reinforcement Learning. SARA 2002: 196-211
1990 – 1999
- 1998
- [c1]Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran:
Improved Switching among Temporally Abstract Actions. NIPS 1998: 1066-1072