Publications

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  1. Using Linear Stochastic Bandits to Extend Traditional Offline Designed Experiments to Online Settings N. Sudarsanam, B Ravindran To appear in Computers and Industrial Engineering (2018)
  2. Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates N. Sudarsanam K. P. Naveen S. Mukherjee, B Ravindran To appear in the Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (2018)
  3. A Novel Topic Modelling Based Weighting Framework for Class Imbalance Learning S. Santhiappan, J. Chelladurai, B. Ravindran Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data (2018)
  4. A Neural Attention Based Approach for Clickstream Mining T. N Chandramohan, B. Ravindran Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data (2018)
  5. Tracking and Stabilization of Mechanical Systems using Reinforcement Learning S. Bhuvaneswari, R. Pasumarthy, B. Ravindran, A. Mahindrakar Proceedings of the Fourth Indian Control Conference (2018)
  6. A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay D. Philip, N. Sudarsanam, B. Ravindran Proceedings of the Fifty First Hawaii International Conference on System Sciences (2018)
  7. DH-Falcon: A Language for Large-Scale Graph Processing on Distributed Heterogeneous Systems Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant IEEE CLUSTER (2017) 439-450
  8. 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)
  9. 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)
  10. Class Imbalance Learning S. Santhiappan, B. Ravindran Advanced Computing and Communications (2017) 1
  11. Learning to repeat: Fine grained action repetition for deep reinforcement learning Sahil Sharma, Aravind S Lakshminarayanan, Balaraman Ravindran ICLR (2017)
  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. Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain P. Parthasarathy M. M. Khapra A. S. Lakshminarayanan J. Rajendran, B Ravindran To appear in the Proceedings of the Fifth International Conference on Learning Representations (2017)
  14. Thresholding Bandits with Augmented UCB Subhojyoti Mukherjee, KP Naveen, Nandan Sudarsanam, Balaraman Ravindran To appear in the Proceedings of the Twenty Sixth International Joint Conference on Artificial Intelligence (2017)
  15. 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
  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. Toward a quantitative description of microscopic pathway heterogeneity in protein folding Soundhararajan Gopi, Animesh Singh, Swaathiratna Suresh, Suvadip Paul, Sayan Ranu, Athi N. Naganathan Phys. Chem. Chem. Phys. (2017) 19 (31) 20891--20903 pdf
  19. Predicting Novel Metabolic Pathways through Subgraph Mining Aravind Sankar, Sayan Ranu, Karthik Raman Bioinformatics (2017) pdf
  20. Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach Purva Bhatter, Karthik Raman, Vani Janakiraman Mol. BioSyst. (2017) 13 (4) 750--755 pdf
  21. A General Mechanism for the Propagation of Mutational Effects in Proteins. Nandakumar Rajasekaran, Swaathiratna Suresh, Soundhararajan Gopi, Karthik Raman, Athi N. Naganathan Biochemistry (2017) 56 (1) 294--305 pdf
  22. Sensor network design for contaminant detection and identification in water distribution networks Venkata Reddy Palleti, Shankar Narasimhan, Raghunathan Rengaswamy, Ravi Teja, S Murty Bhallamudi Computers & Chemical Engineering (2016) 87 246--256
  23. Falcon: a graph manipulation language for heterogeneous systems Rupesh Nasre, YN Srikant, others ACM Transactions on Architecture and Code Optimization (TACO) (2016) 12 (4) 54
  24. Statistical analysis of bus networks in India Atanu Chatterjee, Manju Manohar, Gitakrishnan Ramadurai PloS one (2016) 11 (12) e0168478
  25. Correlational neural networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, Balaraman Ravindran Neural computation (2016)
  26. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, Balaraman Ravindran ICLR (2016)
  27. Dynamic frame skip deep q network Aravind S Lakshminarayanan, Sahil Sharma, Balaraman Ravindran arXiv preprint arXiv:1605.05365 (2016)
  28. HEMI: Hyperedge Majority Influence Maximization Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam arXiv preprint arXiv:1606.05065 (2016)
  29. Trust and distrust across coalitions: shapley value based centrality measures for signed networks B. Ravindran A. Narwekar V. Gangal, R. Narayanam In the Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (2016) 4210-4211
  30. A novel approach for phase identification in smart grids using Graph Theory and Principal Component Analysis Aravind Rajeswaran, Nirav P Bhatt, Ramkrishna Pasumarthy, others American Control Conference (ACC), 2016 (2016) 5026--5031
  31. Deconstructing principal component analysis using a data reconciliation perspective Shankar Narasimhan, Nirav Bhatt Computers & Chemical Engineering (2015) 77 74--84
  32. Optimal control of water distribution networks with storage facilities Gokul Siva Sankar, S Mohan Kumar, Sridharakumar Narasimhan, Shankar Narasimhan, S Murty Bhallamudi Journal of Process Control (2015) 32 127--137
  33. Correlational neural networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, Balaraman Ravindran Neural computation (2016)
  34. 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
  35. Entity linking for web search queries P Deepak, Sayan Ranu, Prithu Banerjee, Sameep Mehta European Conference on Information Retrieval (2015) 394--399
  36. $ 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)
  37. A new method for reconstructing network topology from flux measurements Aravind Rajeswaran, Shankar Narasimhan arXiv preprint arXiv:1506.00438 (2015)
  38. Maximizing profit of cloud brokers under quantized billing cycles: a dynamic pricing strategy based on ski-rental problem Gourav Saha, Ramkrishna Pasumarthy Communication, Control, and Computing (Allerton), 2015 53rd Annual Allerton Conference on (2015) 1000--1007
  39. Nonparametric Poisson Factorization Machine Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh Data Mining (ICDM), 2015 IEEE International Conference on (2015) 967--972
  40. Parallelization of game theoretic centrality algorithms M Vishnu Sankar, Balaraman Ravindran Sadhana (2015) 40 (6) 1821--1843
  41. Measuring network centrality using hypergraphs Sanjukta Roy, Balaraman Ravindran Proceedings of the Second ACM IKDD Conference on Data Sciences (2015) 59--68
  42. Trajectory aware macro-cell planning for mobile users Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan Computer Communications (INFOCOM), 2015 IEEE Conference on (2015) 792--800
  43. Indexing and matching trajectories under inconsistent sampling rates Sayan Ranu, P Deepak, Aditya D Telang, Prasad Deshpande, Sriram Raghavan Data Engineering (ICDE), 2015 IEEE 31st International Conference on (2015) 999--1010
  44. 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
  45. 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
  46. 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
  47. 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)
  48. 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
  49. An LPV approach to performance modeling of a web server on a private cloud PS Saikrishna, Nirav P Bhatt, Ramkrishna Pasumarthy American Control Conference (ACC), 2015 (2015) 1519--1524
  50. Correlational Neural Networks H. Larochelle M. Khapra A. P. Sarath Chandar, B. Ravindran Neural Computation (2016) 28 (2) 257-285
  51. Bridge correlational neural networks for multilingual multimodal representation learning Janarthanan Rajendran, Mitesh M Khapra, Sarath Chandar, Balaraman Ravindran In the Proceedings of the Fifteenth Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT 2016) (2016)
  52. Energetic and topological determinants of a phosphorylation-induced disorder-to-order protein conformational switch Soundhararajan Gopi, Nandakumar Rajasekaran, Animesh Singh, Sayan Ranu, Athi N. Naganathan Phys. Chem. Chem. Phys. (2015) 17 (41) 27264--27269 pdf
  53. {Fast-SL}: an efficient algorithm to identify synthetic lethal sets in metabolic networks A. Pratapa, S. Balachandran, K. Raman Bioinformatics (2015) 31 (20) 3299--3305 pdf
  54. Critical assessment of genome-scale metabolic networks: the need for a unified standard Aarthi Ravikrishnan, Karthik Raman Briefings in Bioinformatics (2015) 16 (6) 1057--1068 pdf
  55. 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
  56. 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
  57. Answering top-k representative queries on graph databases Sayan Ranu, Minh Hoang, Ambuj Singh Proceedings of the 2014 ACM SIGMOD international conference on Management of data (2014) 1163--1174
  58. 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
  59. Temporal analysis of telecom call graphs Saket Gurukar, Balaraman Ravindran Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on (2014) 1--6
  60. Activity recognition for natural human robot interaction Addwiteey Chrungoo, SS Manimaran, Balaraman Ravindran International Conference on Social Robotics (2014) 84--94
  61. 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
  62. 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
  63. People in motion: Spatio-temporal analytics on call detail records Vinay Kolar, Sayan Ranu, Anand Prabhu Subramainan, Yedendra Shrinivasan, Aditya Telang, Ravi Kokku, Sriram Raghavan Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on (2014) 1--4
  64. Inferring uncertain trajectories from partial observations Prithu Banerjee, Sayan Ranu, Sriram Raghavan Data Mining (ICDM), 2014 IEEE International Conference on (2014) 30--39
  65. Scalable Positional Analysis for Studying Evolution of Nodes in Networks Pratik Vinay Gupte, Balaraman Ravindran arXiv preprint arXiv:1402.3797 (2014)
  66. 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