Publications

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1. Tracking and Stabilization of Mechanical Systems using Reinforcement Learning B. Ravindran R. Pasumarthy S. Bhuvaneswari, A Mahindrakar To appear in the Proceedings of the Fourth Indian Control Conference (2018)
2. Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay N. Sudarsanam D. Philip, B. Ravindran To appear in the Proceedings of the Fifty First Hawaii International Conference on System Sciences (2018)
3. Correlational neural networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, Balaraman Ravindran Neural computation (2016)
4. Hierarchical activity recognition for dementia care using Markov Logic Network KS Gayathri, Susan Elias, Balaraman Ravindran Personal and Ubiquitous Computing (2015) 19 (2) 271--285
5. Scalable Positional Analysis for Studying Evolution of Nodes in Networks Pratik Vinay Gupte, Balaraman Ravindran arXiv preprint arXiv:1402.3797 (2014)
6. 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 Pragathi P Balasubramani, V Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A Moustafa Frontiers in computational neuroscience (2014) 8
7. DCEIL: Distributed Community Detection with the CEIL Score A. Jain, R. Nasre, B. Ravindran in the Proceedings of the Nineteenth IEEE International Conference on High Performance Computing and Communication HPCC 2017 (2017)
8. A Neural Attention Based Approach for Clickstream Mining T. N. Chandramohan, B. Ravindran in the proceedings of the 26th International Conference on Artificial Neural Networks (ICANN 2017) (2017)
9. Class Imbalance Learning S. Santhiappan, B. Ravindran Advanced Computing and Communications (2017) 1
10. Learning to repeat: Fine grained action repetition for deep reinforcement learning Sahil Sharma, Aravind S Lakshminarayanan, Balaraman Ravindran arXiv preprint arXiv:1702.06054 (2017)
11. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, Balaraman Ravindran arXiv preprint arXiv:1610.01283 (2016)
12. Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning Vignesh Prasad, Rishabh Jangir, Ravindran Balaraman, K Madhava Krishna Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (2017) 1697--1699
13. Thresholding Bandits with Augmented UCB Subhojyoti Mukherjee, KP Naveen, Nandan Sudarsanam, Balaraman Ravindran arXiv preprint arXiv:1704.02281 (2017)
14. Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy Data Engineering (ICDE), 2017 IEEE 33rd International Conference on (2017) 771--782
15. $ A\\^{} 2T $: Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources Janarthanan Rajendran, Aravind Lakshminarayanan, Mitesh M Khapra, Balaraman Ravindran, others arXiv preprint arXiv:1510.02879 (2015)
16. Diversity driven Attention Model for Query-based Abstractive Summarization Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran To appear in the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017) (2017) pdf
17. Dynamic Action Repetition for Deep Reinforcement Learning. Aravind S Lakshminarayanan, Sahil Sharma, Balaraman Ravindran AAAI (2017) 2133--2139
18. Dynamic frame skip deep q network Aravind S Lakshminarayanan, Sahil Sharma, Balaraman Ravindran arXiv preprint arXiv:1605.05365 (2016)
19. HEMI: Hyperedge Majority Influence Maximization Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam arXiv preprint arXiv:1606.05065 (2016)
20. A correlational encoder decoder architecture for pivot based sequence generation Amrita Saha, Mitesh M Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho arXiv preprint arXiv:1606.04754 (2016)
21. Nonparametric Poisson Factorization Machine Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh Data Mining (ICDM), 2015 IEEE International Conference on (2015) 967--972
22. Parallelization of game theoretic centrality algorithms M Vishnu Sankar, Balaraman Ravindran Sadhana (2015) 40 (6) 1821--1843
23. Measuring network centrality using hypergraphs Sanjukta Roy, Balaraman Ravindran Proceedings of the Second ACM IKDD Conference on Data Sciences (2015) 59--68
24. Near optimal strategies for targeted marketing in social networks Ramakumar Pasumarthi, Ramasuri Narayanam, Balaraman Ravindran Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (2015) 1679--1680
25. Commit: A scalable approach to mining communication motifs from dynamic networks Saket Gurukar, Sayan Ranu, Balaraman Ravindran Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (2015) 475--489
26. Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning. Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran IJCAI (2015) 3791--3797
27. CEIL: a scalable, resolution limit free approach for detecting communities in large networks Vishnu Sankar, Balaraman Ravindran, S Shivashankar Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)
28. Show Me Your Evidence-an Automatic Method for Context Dependent Evidence Detection. Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M Khapra, Ehud Aharoni, Noam Slonim EMNLP (2015) 440--450
29. When Transliteration Met Crowdsourcing: An Empirical Study of Transliteration via Crowdsourcing using Efficient, Non-redundant and Fair Quality Control. Mitesh M Khapra, Ananthakrishnan Ramanathan, Anoop Kunchukuttan, Karthik Visweswariah, Pushpak Bhattacharyya LREC (2014) 196--202
30. An autoencoder approach to learning bilingual word representations Sarath Chandar AP, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C Raykar, Amrita Saha Advances in Neural Information Processing Systems (2014) 1853--1861
31. Multi-label collective classification in multi-attribute multi-relational network data Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on (2014) 509--514
32. Temporal analysis of telecom call graphs Saket Gurukar, Balaraman Ravindran Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on (2014) 1--6
33. Activity recognition for natural human robot interaction Addwiteey Chrungoo, SS Manimaran, Balaraman Ravindran International Conference on Social Robotics (2014) 84--94
34. RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees Manimaran Sivasamy Sivamurugan, Balaraman Ravindran Robotics and Automation (ICRA), 2014 IEEE International Conference on (2014) 4362--4367
35. Studying Indian Railways Network using hypergraphs Sai Nageswar Satchidanand, Siddharth Kumar Jain, Amit Maurya, Balaraman Ravindran Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on (2014) 1--6
36. Bridge correlational neural networks for multilingual multimodal representation learning Janarthanan Rajendran, Mitesh M Khapra, Sarath Chandar, Balaraman Ravindran arXiv preprint arXiv:1510.03519 (2015)