Publications

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  1. Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization Preksha Nema, Shreyas Shetty M, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M.Khapra In Proceedings of the North American Chapter of the Association for Computational Linguistics (2018)
  2. Learning to Multi-Task by Active Sampling Sahil Sharma, Ashutosh Kumar Jha, Parikshit S Hegde, Balaraman Ravindran To appear in the Proceedings of the Sixth International Conference on Learning Representations (2018)
  3. Mining bus stops from raw GPS data of bus trajectories Nandani Garg, Gitakrishnan Ramadurai, Sayan Ranu Communication Systems and Networks (COMSNETS), 2018 10th International Conference on (2018) 583--588
  4. Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL Karthik Raman, Aditya Pratapa, Omkar Mohite, Shankar Balachandran Metabolic Network Reconstruction and Modeling (2018) 315--336
  5. RAIL: Risk-averse Imitation Learning S. Avancha D. Mudigere D. Das B. Ravindran A. Naik A. Santara, B Kaul To appear in the Proceedings of the Seventeenth International Conference on Autonomous Agents and Multiagent Systems (2018)
  6. Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks M. M. Khapra S. Bhardwaj D. Mittal, B Ravindran To appear in the Proceedings of the Eighteenth IEEE Winter Conference on Applications of Computer Vision, WACV 2018 (2018)
  7. Training a Deep Learning Architecture for Vehicle Detection Using Limited Heterogeneous Traffic Data K. Mitra G. Ramadurai D. Mittal, B Ravindran In the Proceedings of the Workshop on Intelligent Transportation Systems, COMSNETS 2018 (2018)
  8. 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) 471-485
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. Multivariate Control Loop Performance Assessment based on Scaling Exponent and Mahalanobis Distance Babji Srinivasan Leya Das, Reghunathan Rengaswamy IEEE Control Systems Technology (2016)
  16. Optimal power distribution control for a network of fuel cell stacks Resmi Suresh, Ganesh Sankaran, Sreeram Joopudi, Suman Roy Choudhury, Shankar Narasimhan, Raghunathan Rengaswamy Journal of Process Control (2018)
  17. Data mining and control loop performance assessment: The multivariate case Laya Das, Raghunathan Rengaswamy, Babji Srinivasan AIChE Journal (2017) 63 (8) 3311--3328
  18. 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)
  19. Actuator network design to mitigate contamination effects in Water Distribution Networks Venkata Reddy Palleti, Varghese Kurian, Shankar Narasimhan, Raghunathan Rengaswamy Computers \\& Chemical Engineering (2018) 108 194--205
  20. Class Imbalance Learning S. Santhiappan, B. Ravindran Advanced Computing and Communications (2017) 1
  21. Learning to repeat: Fine grained action repetition for deep reinforcement learning Sahil Sharma, Aravind S Lakshminarayanan, Balaraman Ravindran ICLR (2017)
  22. 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
  23. 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)
  24. 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)
  25. Travel Time Prediction Using Support Vector Regression Gitakrishnan Ramadurai AnnaMary Phillip, Lelitha Devi Conference of the Transportation Research Group of India (2017)
  26. 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
  27. 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)
  28. Dynamic Action Repetition for Deep Reinforcement Learning. Aravind S Lakshminarayanan, Sahil Sharma, Balaraman Ravindran AAAI (2017) 2133--2139
  29. Predicting Novel Metabolic Pathways through Subgraph Mining Aravind Sankar, Sayan Ranu, Karthik Raman Bioinformatics (2017)
  30. 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
  31. 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
  32. 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
  33. Statistical analysis of bus networks in India Atanu Chatterjee, Manju Manohar, Gitakrishnan Ramadurai PloS one (2016) 11 (12) e0168478
  34. Correlational neural networks Sarath Chandar, Mitesh M Khapra, Hugo Larochelle, Balaraman Ravindran Neural computation (2016)
  35. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, Balaraman Ravindran ICLR (2016)
  36. Dynamic frame skip deep q network Aravind S Lakshminarayanan, Sahil Sharma, Balaraman Ravindran arXiv preprint arXiv:1605.05365 (2016)
  37. HEMI: Hyperedge Majority Influence Maximization Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam arXiv preprint arXiv:1606.05065 (2016)
  38. 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
  39. In Silico Approaches to Metabolic Engineeringin Current Developments in Biotechnology and Bioengineering A Badri, A Srinivasan, K Raman First ed., (2016)
  40. 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
  41. 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)
  42. Nonparametric Poisson Factorization Machine Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh Data Mining (ICDM), 2015 IEEE International Conference on (2015) 967--972
  43. Parallelization of game theoretic centrality algorithms M Vishnu Sankar, Balaraman Ravindran Sadhana (2015) 40 (6) 1821--1843
  44. Measuring network centrality using hypergraphs Sanjukta Roy, Balaraman Ravindran Proceedings of the Second ACM IKDD Conference on Data Sciences (2015) 59--68
  45. 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
  46. 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
  47. 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
  48. 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)
  49. Correlational Neural Networks H. Larochelle M. Khapra A. P. Sarath Chandar, B. Ravindran Neural Computation (2016) 28 (2) 257-285
  50. 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)
  51. 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
  52. 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
  53. 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
  54. Temporal analysis of telecom call graphs Saket Gurukar, Balaraman Ravindran Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on (2014) 1--6
  55. Activity recognition for natural human robot interaction Addwiteey Chrungoo, SS Manimaran, Balaraman Ravindran International Conference on Social Robotics (2014) 84--94
  56. 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
  57. 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
  58. Scalable Positional Analysis for Studying Evolution of Nodes in Networks Pratik Vinay Gupte, Balaraman Ravindran arXiv preprint arXiv:1402.3797 (2014)
  59. 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