Publications (By Year, By Topic)

Reinforcement Learning:

  1. Sudarsanam, N. and Ravindran, B. (2018) "Using Linear Stochastic Bandits to Extend Traditional Offline Designed Experiments to Online Settings". To appear in Computers and Industrial Engineering. Elsevier.

  2. Mukherjee, S., Naveen, K. P., Sudarsanam, N., and Ravindran, B. (2018) "Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates". To appear in the Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). AAAI Press.

  3. Bhuvaneswari, S., Pasumarthy, R., Ravindran, B., and Mahindrakar, A. (2018) "Tracking and Stabilization of Mechanical Systems using Reinforcement Learning". To appear in the Proceedings of the Fourth Indian Control Conference (ICC 2018).

  4. Mukherjee, S., Naveen, K. P., Sudarsanam, N., and Ravindran, B. (2017) "Thresholding Bandits with Augmented UCB". To appear in the Proceedings of the Twenty Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017).

  5. Rajendran, J., Lakshminarayanan, A. S., Khapra, M. M., Parthasarathy, P., and Ravindran, B. (2017) "Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).

  6. Sharma, S., Lakshminarayanan, A. S., and Ravindran, B. (2017) "Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).

  7. Rajeswaran, A., Ghotra, S., Ravindran, B., and Levine, S. (2017) "EPOpt: Learning Robust Neural Network Policies using Model Ensembles". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).

  8. Prasad,V., Jangir, R., Krishna, K. M., and Ravindran, B. (2017) "Data driven strategies for Active Monocular SLAM using Inverse Reinforcement Learning". To appear in the proceedings of the Sixteenth International Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2017). ACM Press. (Extended Abstract)

  9. Lakshminarayanan, A. S., Sharma, S., and Ravindran, B. (2017) "Dynamic Action Repetition For Deep Reinforcement Learning". To appear in the proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). AAAI Press.

  10. Balasubramani, P. P., Chakravarthy, V. S., Ravindran, B., and Moustafa, A. A. (2015) "A Network Model of Basal Ganglia for Understanding the Roles of Dopamine and Serotonin in Reward-Punishment-Risk based Decision Making". Frontiers in Computational Neuroscience 9:76. June 17, 2015. Article

  11. Garlapati, A., Raghunathan, A., Nagarajan, V., and Ravindran, B. (2015) "A Reinforcement Learning Approach to Online Learning of Decision Trees". Accepted at the European Workshop on Reinforcement Learning (EWRL 2015). arXiv +

  12. Balasubramani, P. P., Chakravarthy, V. S., Ali, M., Ravindran, B., and Moustafa, A. A. (2015) "Identifying the Basal Ganglia Network Model Markers for Medication-induced Impulsivity in Parkinson's Disease patients". PLoS ONE 10(6): e0127542. June 4, 2015. Article

  13. Prasanna P., Sarath Chandar, A. P., and Ravindran, B. (2014) "iBayes: A Thompson Sampling Approach to Reinforcement Learning with Instructions". Presented at the NIPS workshop on Novel Trends and Applications in Reinforcement Learning. +

  14. Priyadharsini, B. P., Chakravarthy, V. S., Ravindran, B., and Moustafa, A. A. (2014) "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". In the Frontiers of Computational Neuroscience, 8(47), April 16, 2014. Article

  15. Manimaran, S. S., and Ravindran, B. (2014) "RRTPI: Policy Iteration on Continuous Domains using Rapidly-exploring Random Trees". In the Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014), pp. 4362-4367. Hong Kong, China. IEEE Press. PDF

  16. Ravindran, B. (2013) "Relativized hierarchical decomposition of Markov decision processes". In Decision making: neural and behavioural approaches, Pammi, V. S. C. and Srinivasan, N. (eds), pp. 465-488, Vol 202, Progress in Brain Research, Elsevier. (Book Chapter)

  17. Pradyot K. V. N., Manimaran, S. S., Ravindran, B., and Natarajan, S. (2012) "Integrating Human Instructions and Reinforcement Learners : An SRL Approach". To appear in the Proceedings of the UAI workshop on Statistical Relational AI (StarAI 2012). +

  18. Maya, M., Chakravarthy, V. S., and Ravindran, B. (2012) "An Oscillatory neural network model for birdsong learning and generation: Implications for the role of Dopamine in Song Learning". In the International Journal of Mind, Brain and Cognition, Vol. 3, No. 1., Jan-Jun 2012. Bahri Publications.

  19. Priyadarshini, B. P., Ravindran, B., and Chakravarthy, V. S. (2012) "Understanding the role of Serotonin in Basal Ganglia through a unified model". In the Proceedings of the Twenty Second International Conference on Artificial Neural Networks (ICANN 2012), pp. 467-473. Springer.

  20. Kumar, P., Mathew, V., and Ravindran, B. (2012) "Abstraction in Reinforcement Learning in Terms of Metastability". To appear in the Proceedings of the European Workshop on Reinforcement Learning (EWRL 2012). +

  21. Chaganty, A., and Ravindran, B. (2012) "Discovering Continuous Homomorphisms for Transfer". To appear in the Proceedings of the European Workshop on Reinforcement Learning (EWRL 2012). +

  22. Nunez-Varela, J., Ravindran, B., and Wyatt, J. L. (2012) "Gaze Allocation Analysis for a Visually Guided Manipulation Task". In the Proceedings of the Twelfth International Conference on the Simulation of Adaptive Behavior (SAB 2012), pp. 44-53. Springer.

  23. Pradyot, K. V. N., Manimaran, S. S., and Ravindran, B. (2012) "Instructing a Reinforcement Learner". To appear in the Proceedings of the Twenty Fifth Florida AI Research Society Conference (FLAIRS 2012). AAAI Press. PDF

  24. Nunez-Varela, J., Ravindran, B., and Wyatt, J. L. (2012) "Where Do I Look Now? Gaze Allocation During Visually Guided Manipulation". In the Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), pp. 4444-4449. IEEE Press. PDF

  25. Chaganty, A., Gaur, P., and Ravindran, B. (2012) "Learning in a Small World". In the Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 391-397. ACM Press. PDF

  26. Pradyot, K. V. N. and Ravindran, B. (2011) "Beyond Rewards: Learning with Richer Supervision". In the Proceedings of the Ninth European Workshop on Reinforcement Learning (EWRL 2011).+

  27. Sai Ramesh, M. and Ravindran, B. (2011) "Options with Exceptions". In the Proceedings of the Ninth European Workshop on Reinforcement Learning (EWRL 2011), pp. 165-176. Springer-Verlag. PDF

  28. Ananda Narayanan, B. and Ravindran, B. (2011) "Fractional Moments on Bandit Problems". In the Proceedings of the Twenty Seventh Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 531-538. AUAI Press. PDF

  29. Magdoom, M., Subramanian, D., Ravindran, B., Chakravarthy, V. S., Shun-ichi-Amari, and Meenakshisundaram, N. (2011) "Modelling Basal Ganglia for Understanding Parkinsonian Reaching Movements". Neural Computation, February 2011, Vol. 23, No. 2, Pages 477-516.

  30. Malpani, A., Ravindran, B., and Murthy, H. A. (2011) "Personalized Intelligent Tutoring System Using Reinforcement Learning". In the Proceedings of the Twenty Third Florida AI Research Society Conference (FLAIRS 2011). AAAI Press. PDF

  31. Maya, M., Chakravarthy, V. S., and Ravindran, B. (2010) "An Oscillatory Neural Network Model for Birdsong Learning and Generation". In the Proceedings of the Twentieth International Conference on Artificial Neural Networks (ICANN 2010), pp. 210-215. Springer.

  32. Balaji, L., and Ravindran, B. (2010) "Transfer learning across heterogeneous robots with action sequence mapping". In the Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), pp. 3251-3256. IEEE Press. PDF

  33. Bahuguna, J., Ravindran, B., and Krishna, K. M. (2009) "MDP based Active Localization for Multiple Robots". In the Proceedings of the Fifth Annual IEEE Conference on Automation Science and Engineering (CASE 2009), pp. 635-640. IEEE Press. Abstract  PDF

  34. Mohamed, M., Chakravarthy, V. S., Subramanian, D., and Ravindran, B. (2009) "The Role of Basal Ganglia in Performing Simple Reaching Movements: A Computational Model". In the Proceedings of the 14th Conference of the International Graphonomics Society (IGS09), pp. 477-516.

  35. Malpani, A., Ravindran, B., and Murthy, H. A. (2009) "Personalized Intelligent Tutoring System Using Reinforcement Learning". Presented at the Multidisciplinary Symposium on Reinforcement Learning.+ (Preliminary version of the paper at FLAIRS 2011.)

  36. Mohamed, M., Chakravarthy, V. S., Subramanian, D., and Ravindran, B. (2009) "The Role of Basal Ganglia in Performing Simple Reaching Movements: A Computational Model". Presented at the Multidisciplinary Symposium on Reinforcement Learning.+ (Shorter version of the paper at IGS09.)

  37. Swapna Raj, P. and Ravindran, B. (2008) "Personalized Web-page Rendering System". In the Proceedings of the Fourteenth International Conference on Management of Data (COMAD 2008), pp. 30-39. Abstract  PDF

  38. Balaji, L. and Ravindran, B. (2008) "Transfer Learning with Differently-abled Robots". In the IROS Workshop on Robotics Challenges for Machine Learning.+

  39. Narayanamurthy, S. M. and Ravindran, B. (2008) "On the Hardness of Finding Symmetries in Markov Decision Processes". In the Proceedings of the Twenty Fifth International Conference on Machine Learning (ICML 2008), pp. 688-696. AAAI Press. Abstract  PDF (Associated Technical Report PDF)

  40. Sarma, B.H.S. and Ravindran, B. (2007) "Intelligent Tutoring System using Reinforcement Learning to Teach Autistic Students". In the Proceedings of the Conference on Home/Community Oriented ICT for the Next Billion (HOIT 2007), pp. 65-78. Springer. Abstract  PDF

  41. Narayanamurthy, S. M. and Ravindran, B. (2007) "Efficiently Exploiting Symmetries in Real Time Dynamic Programming". In the Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), pp. 2556-2561. AAAI Press. Abstract  PDF

  42. Ravindran, B., Barto, A. G., and Mathew, V. (2007) "Deictic Option Schemas". In the Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), pp. 1023-1028. Abstract  AAAI Press. PDF

  43. Siva Soumya, E., Manimegalai, R., Muralidharan V., Ravindran, B., Kamakoti, V., and Bhatia, D. (2005) "Placement and Routing for 3D-FPGAs using Reinforcement Learning and Support Vector Machines". In the Proceedings of the Eighteenth International Conference on VLSI Design. Abstract  PDF

  44. Saravanan, M., Ravindran, B., and Raman, S. (2005) "Learn to Teach Autistic Children". Presented in the National Conference on Computational Intelligence (St. Joseph's College, Trichy), Feb 16-18.+

  45. Ravindran, B. and Barto, A. G. (2004) "Approximate Homomorphisms: A Framework for Non-exact Minimization in Markov Decision Processes". In the Proceedings of the Fifth International Conference on Knowledge Based Computer Systems (KBCS 04). Abstract  PDF

  46. Ravindran, B. and Barto, A. G. (2003) " Relativized Options: Choosing the Right Transformation". In the Proceedings of the Twentieth International Conference on Machine Learning(ICML 2003), pp. 608-615. AAAI Press. Abstract  PDF

  47. Ravindran, B. and Barto, A. G. (2003) " SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi Markov Decision Processes". In the Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 03), pp. 1011-1016. AAAI Press. Abstract  PDF

  48. Ravindran, B. and Barto, A. G. (2003) " An Algebraic Approach to Abstraction in Reinforcement Learning". In the Proceedings of the Twelfth Yale Workshop on Adaptive and Learning Systems, pp. 109-114. Yale University. Abstract  PDF

  49. Ravindran, B. and Barto, A. G. (2002) " Model Minimization in Hierarchical Reinforcement Learning". In the Proceedings of the Fifth Symposium on Abstraction, Reformulation and Approximation (SARA 2002), pp.196-211, LNCS, Springer Verlag. (Slides from presentation: PPT) Abstract  PDF

  50. Sutton, R. S., Singh, S., Precup, D. and Ravindran, B. (1999) " Improved Switching among Temporally Abstract Actions". In Advances in Neural Information Processing Systems 11 (Proceedings of NIPS'98), pp.1066-1072. MIT Press. Abstract  PDF

  51. McGovern, Amy , Precup, Doina, Ravindran, B., Singh, Satinder and Sutton, Richard S. (1998) " Hierarchical Optimal Control of MDPs", Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, pp.186-191. Abstract  PDF

  52. Keerthi, S. S. and Ravindran, B. (1996) " C3: Reinforcement Learning". In Handbook Of Neural Computation, E. Fiesler and R. Beale, Editors, Oxford University Press, U. K. Abstract  PDF

  53. Keerthi, S. S. and Ravindran, B. (1994) " A Tutorial Survey Of Reinforcement Learning". In Sadhana (Proceedings of the Indian Academy of Sciences), Vol. 19, Dec. 1994, pp. 851-889. Abstract  PDF

Computational Neuroscience:

  1. Balasubramani, P. P., Chakravarthy, V. S., Ravindran, B., and Moustafa, A. A. (2015) "A Network Model of Basal Ganglia for Understanding the Roles of Dopamine and Serotonin in Reward-Punishment-Risk based Decision Making". Frontiers in Computational Neuroscience 9:76. June 17, 2015. Article

  2. Balasubramani, P. P., Chakravarthy, V. S., Ali, M., Ravindran, B., and Moustafa, A. A. (2015) "Identifying the Basal Ganglia Network Model Markers for Medication-induced Impulsivity in Parkinson's Disease patients". PLoS ONE 10(6): e0127542. June 4, 2015. Article

  3. Priyadharsini, B. P., Chakravarthy, V. S., Ravindran, B., and Moustafa, A. A. (2014) "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". In the Frontiers of Computational Neuroscience, 8(47), April 16, 2014. Article

  4. Maya, M., Chakravarthy, V. S., and Ravindran, B. (2012) "An Oscillatory neural network model for birdsong learning and generation: Implications for the role of Dopamine in Song Learning". In the International Journal of Mind, Brain and Cognition, Vol. 3, No. 1., Jan-Jun 2012. Bahri Publications.

  5. Priyadarshini, B. P., Ravindran, B., and Chakravarthy, V. S. (2012) "Understanding the role of Serotonin in Basal Ganglia through a unified model". In the Proceedings of the Twenty Second International Conference on Artificial Neural Networks (ICANN 2012), pp. 467-473. Springer.

  6. Magdoom, M., Subramanian, D., Ravindran, B., Chakravarthy, V. S., Shun-ichi-Amari, and Meenakshisundaram, N. (2011) "Modelling Basal Ganglia for Understanding Parkinsonian Reaching Movements". Neural Computation, February 2011, Vol. 23, No. 2, Pages 477-516.

  7. Maya, M., Chakravarthy, V. S., and Ravindran, B. (2010) "An Oscillatory Neural Network Model for Birdsong Learning and Generation". In the Proceedings of the Twentieth International Conference on Artificial Neural Networks (ICANN 2010), pp. 210-215. Springer.

  8. Mohamed, M., Chakravarthy, V. S., Subramanian, D., and Ravindran, B. (2009) "The Role of Basal Ganglia in Performing Simple Reaching Movements: A Computational Model". In the Proceedings of the 14th Conference of the International Graphonomics Society (IGS09), pp. 477-516.

  9. Mohamed, M., Chakravarthy, V. S., Subramanian, D., and Ravindran, B. (2009) "The Role of Basal Ganglia in Performing Simple Reaching Movements: A Computational Model". Presented at the Multidisciplinary Symposium on Reinforcement Learning.+ (Shorter version of the paper at IGS09.)

Deep Learning

  1. Nema, P., Khapra, M. M., Laha, A., and Ravindran, B. (2017) "Diversity driven attention model for query-based abstractive summarization". To appear in the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017).

  2. Rajendran, J., Lakshminarayanan, A. S., Khapra, M. M., Parthasarathy, P., and Ravindran, B. (2017) "Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).

  3. Sharma, S., Lakshminarayanan, A. S., and Ravindran, B. (2017) "Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).

  4. Rajeswaran, A., Ghotra, S., Ravindran, B., and Levine, S. (2017) "EPOpt: Learning Robust Neural Network Policies using Model Ensembles". To appear in the Proceedings of the Fifth International Conference on Learning Representations (ICLR 2017).
  5. Lakshminarayanan, A. S., Sharma, S., and Ravindran, B. (2017) "Dynamic Action Repetition For Deep Reinforcement Learning". To appear in the proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). AAAI Press.

  6. Rajendran, J., Khapra, M. M., Chandar, S., Ravindran, B. (2016) "Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning". 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), pp. 171-181. ACL. arXiv version.

  7. Sarath Chandar, A. P., Khapra, M., Larochelle, H., and Ravindran, B. (2016) "Correlational Neural Networks". In Neural Computation, Vol 28, No. 2, pp. 257-285. MIT Press. PDF

  8. Rongali, S., Sarath Chandar, A. P., and Ravindran, B. (2015) "From Multiple Views to Single View : A Neural Network Approach". To appear in the Proceedings of the Second ACM-IKDD Conference on Data Sciences (IKDD CoDS). ACM Digital Library. PDF

  9. Sarath Chandar, A. P., Lauly, S., Larochelle, H., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2014) "An Autoencoder Approach to Learning Bilingual Word Representations". In the Proceedings of the Neural Information Processing Systems conference (NIPS 2014), pp. 1853-1861. PDF

  10. Sarath Chandar, A. P., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2013) "Multilingual Deep Learning". In the Deep Learning Workshop at NIPS 2013. +

Data Mining

  1. Santhiappan, S., Chelladurai, J., and Ravindran, B. (2018) "A Novel Topic Modelling Based Weighting Framework for Class Imbalance Learning". To appear in the Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD 2018). ACM DL.

  2. Chandramohan, T. N. and Ravindran, B. (2018) "A Neural Attention Based Approach for Clickstream Mining". To appear in the Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data (CoDS-COMAD 2018). ACM DL. (Expanded version of the ICANN 2017 paper)

  3. Philip, D., Sudarsanam, N., and Ravindran, B. (2018) "A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay". To appear in the Proceedings of the Fifty First Hawaii International Conference on System Sciences (HICSS-51).

  4. Jain, A., Nasre, R., and Ravindran, B. (2017) "DCEIL: Distributed Community Detection with the CEIL Score". To appear in the Proceedings of the Nineteenth IEEE International Conference on High Performance Computing and Communication (HPCC 2017). IEEE Press.

  5. Nema, P., Khapra, M. M., Laha, A., and Ravindran, B. (2017) "Diversity driven attention model for query-based abstractive summarization". To appear in the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017).

  6. Chandramohan, T. N. and Ravindran, B. (2017) "A Neural Attention Based Approach for Clickstream Mining ". To appear in the proceedings of the 26th International Conference on Artificial Neural Networks (ICANN 2017), Alghero, Italy. (Short Paper)

  7. Santhiappan, S., and Ravindran, B., (2017) "Class Imbalance Learning". In Advanced Computing and Communications, Vol 1, No. 1, June 2017. ACCS. Web Link

  8. Gupte, P. V., Ravindran, B., and Parthasarthy, S. (2017) "Role Discovery in Graphs using Global Features: Algorithms, Applications and a Novel Evaluation Strategy". In the proceedings of the Thirty-Third IEEE International Conference on Data Engineering (ICDE 2017), pp. 771-782. IEEE Press.

  9. Rajendran, J., Khapra, M. M., Chandar, S., Ravindran, B. (2016) "Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning". 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), pp. 171-181. ACL. arXiv version.

  10. Sarath Chandar, A. P., Khapra, M., Larochelle, H., and Ravindran, B. (2016) "Correlational Neural Networks". In Neural Computation, Vol 28, No. 2, pp. 257-285. MIT Press. PDF

  11. Saha, A., Acharya, A., Ravindran, B., and Ghosh, J. (2015) "Nonparametric Poisson Factorization Machine". In the Proceedings of the Fifteenth IEEE International Conference on Data Mining (ICDM 2015), pp. 967-972. IEEE Press.

  12. Sankar, V., and Ravindran, B. (2015) "Parallelization of Game Theoretic Centrality Algorithms". In the Special Issue on Applications of Data Sciences of Sadhana, The Engineering Proceedings of the Indian Academy of Sciences, September 2015, Volume 40, Issue 6, pp. 1821-1843. Springer.

  13. Saha, A., Misra, R., and Ravindran, B. (2015) "Scalable Bayesian Matrix Factorization". Accepted at the Sixth International Workshop on Mining Ubiquitous and Social Environments (MUSE), co-located with ECML/PKDD 2015, Porto, Portugal. +

  14. Sankar, V., Shivashankar, S., and Ravindran. B. (2015) "CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks". In the Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). PDF

  15. Satchidanand, S. N., Ananthapadmanaban, H., and Ravindran, B. (2015) "Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning". To appear in the Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). PDF

  16. Patil, S., and Ravindran, B. (2015) "Active Learning based Weak Supervision for Textual Survey Response Classification". To appear in the Proceedings of the Sixteenth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015). Springer. PDF

  17. Pasumarthi, R. K., Narayanam, R., and Ravindran, B. (2015) "Near Optimal Strategies for Targeted Marketing on Social Networks". To appear in the Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). ACM Press. (Extended Abstract) PDF

  18. Gurukar, S., Ranu, S., and Ravindran, B. (2015) "COMMIT : A Scalable Approach to Mining Communication Motifs from Dynamic Networks". To appear in the Proceedings of ACM SIGMOD Conference on Management of Data. ACM Press. PDF

  19. Roy, S., and Ravindran, B. (2015) "Measuring Network Centrality Using Hypergraphs". To appear in the Proceedings of the Second ACM-IKDD Conference on Data Sciences (IKDD CoDS). ACM Digital Library. PDF [Best Student Paper]

  20. Rongali, S., Sarath Chandar, A. P., and Ravindran, B. (2015) "From Multiple Views to Single View : A Neural Network Approach". To appear in the Proceedings of the Second ACM-IKDD Conference on Data Sciences (IKDD CoDS). ACM Digital Library. PDF

  21. Sarath Chandar, A. P., Lauly, S., Larochelle, H., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2014) "An Autoencoder Approach to Learning Bilingual Word Representations". In the Proceedings of the Neural Information Processing Systems conference (NIPS 2014), pp. 1853-1861. PDF

  22. Pasumarthi, R. K., Narayanam, R., and Ravindran, B. (2014) "Targeted Influence Maximization through a Social Network". Presented at the NIPS workshop on Networks: From Graphs to Rich Data. PDF +

  23. Saha, A., Rajendran, J., Shekhar, S., and Ravindran, B. (2014) "How popular are your tweets?". In Proceedings of the 2014 Recommender Systems Challenge (RecSysChallenge '14). ACM, New York, NY, USA, Pages 66-69.

  24. Vijayan, P., Shivashankar, S., and Ravindran, B. (2014) "Multi-label Collective Classification in Multi-attribute Multi-relational Network Data". In the Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), pp. 509-514. PDF

  25. Gupte, P. V. and Ravindran, B. (2014) "Scalable Positional Analysis for Studying Evolution of Nodes in Networks". Accepted for presentation in the Workshop on Mining Networks and Graphs, at the Siam Conference on Data Mining (SDM 14). arXiv +

  26. Sarath Chandar, A. P., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2013) "Multilingual Deep Learning". In the Deep Learning Workshop at NIPS 2013. +

  27. Pai, D., Ravindran, B., Rajagopalan, S., and Srinivasaraghavan, R. (2013) "Automated Faceted Reporting for Web Analytics" In the Fourth International Workshop on Knowledge Representation, Retrieval and Reasoning (Web-KR) at CIKM 2013, pp. 9-16. ACM Digital Library.

  28. Srinivasan, B. V., Anandhavelu, N., Sinha, R., Gupta, V., Revankar, S., and Ravindran, B. (2013) "Will your Facebook Post be Engaging?" In the First Workshop on User Engagement Optimization (UEO) at CIKM 2013, pp.25-28. ACM Digital Library.

  29. Kumar, P., Narasimhan, N., and Ravindran, B. (2013) "Spectral Clustering as Mapping to a Simplex". Accepted at the 2013 ICML workshop on Spectral Learning. Atlanta, GA, USA. +

  30. Kar, D., Kumar, A., Chakraborti, S., and Ravindran, B. (2013) "iCaseViz : Learning Case Similarities through Interaction with a Case Base Visualizer". To appear in the Proceedings of the Twenty First International Conference on Case Based Reasoning (ICCBR 2013). Springer.

  31. Michalak, T. P., Aadithya, K. V., Szpzepański, P. L., Ravindran, B., and Jennings, N. R. (2013) "Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality". In the Journal of Artificial Intelligence Research (JAIR), Vol 46, pp. 607-650. March 2013. AAAI Press.

  32. Swapna Raj P., and Ravindran, B. (2013) "Incremental Constrained Clustering : A Decision Theoretic Approach". To appear in the Proceedings of the PAKDD workshop on Constraint Discovery and Applications (CDA 2013). Springer.

  33. Kar, S., Deepak, V., Ravindran, B., and Tendulkar, A. V. (2012) "Functional Site Prediction by Exploiting Correlations between Labels of Interacting Residues". In the Proceedings of the Third ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB 2012), pp. 76-83. ACM Press. PDF

  34. Kar, D., Chakraborti, S., and Ravindran, B. (2012) "Feature Weighting and Confidence based Prediction for Case Based Reasoning Systems". In the Proceedings of the Twentieth International Conference on Case Based Reasoning (ICCBR 2012), pp. 211-225. Springer.

  35. Rangadurai, K. R., Hattiwale, V., and Ravindran, B. (2012) "Adaptive Network Intrusion Detection System using a Hybrid Approach". To appear in the Proceedings of the Fourth International Conference on COMmunications Systems and NETworkS (COMSNETS 2012). IEEE Press. PDF

  36. Dharwez, S., Shivashankar, S., and Ravindran, B. (2012) "Why Collective Classification is Successful? : A Homophily based Analysis on Network Data". Accepted for presentation at the Thirty Second Sunbelt Social Networks Confernce (Sunbelt XXXII).+

  37. Mohay, G., Ahmed, E., Bhatia, S., Nadarajan, A., Ravindran, B., Tickle, A. B., and Vijayasarathy, R. (2011) "Detection and Mitigation of High-Rate Flooding Attacks". In An Investigation into the Detection and Mitigation of Denial of Service (DoS) Attacks: Critical Information Infrastructure Protection , Raghavan, S. V., and Dawson, E. (Eds.), pp. 131-181, Sept. 2011. Springer. (Book Chapter)

  38. Saravanan, M., Bharanidharan, S., and Ravindran, B. (2011) "Collective Learning of the Community Effect on Chrun". Accepted at the Workshop on Collective Learning and Inference on Structured Data, held in conjunction with the Twenty Second European Conference on Machine Learning (ECML PKDD 2011).+

  39. Shivashankar, S., Srivathsan, S., Ravindran, B., and Tendulkar, A. V. (2011) "Multi-view Methods for Protein Structure Comparison using Latent Dirichlet Allocation". In Bioinformatics 2011 27(13): pp.i61-i68. OUP. (Special issue with the proceedings of the 19th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2011).) PDF

  40. Swapna Raj P., and Ravindran, B. (2011) "Utility Driven Clustering". In the Proceedings of the Twenty Fourth Florida AI Research Society Conference (FLAIRS 2011). AAAI Press. PDF

  41. Vijayasarathy, R., Ravindran, B., and Raghavan, S. V. (2011) "A System Approach to Network Modeling for DDoS Detection using Naive Bayesian Classifiers". In the Proceedings of the Third International Conference on COMmunications Systems and NETworkS (COMSNETS 2011). IEEE Press. PDF

  42. Aadithya, K. V., Ravindran, B., Michalak, T., and Jennings, N. R. (2010) "Efficient Computation of the Shapley Value for Centrality in Networks". In the Proceedings of the Sixth Workshop on Internet and Network Economics (WINE 2010), pp. 1-13. Springer-Verlag. (Associated Technical Report PDF)

  43. Zaki, M.J., Yu, J.X., Ravindran, B., and Pudi, V. (Eds.) (2010) "Advances in Knowledge Discovery and Data Mining", Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Springer-Verlag, LNCS. Part I, Part II.

  44. Yousuf, A., and Ravindran, B. (2010) "Visual Object Detection using Frequent Pattern Mining". In the Proceedings of the Twenty Third Florida AI Research Society Conference (FLAIRS 2010), pp. 98-103. AAAI Press. PDF

  45. Swapna Raj P., and Ravindran, B. (2010) "Mining Actionable Patterns". In the Proceedings of the Twenty Third Florida AI Research Society Conference (FLAIRS 2010), pp. 444-445. AAAI Press. PDF

  46. Aadithya, K. V. and Ravindran, B. (2010) "Game Theoretic Network Centrality: Exact Formulas and Efficient Algorithms". In the Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 1459-1460. (Extended Abstract) PDF

  47. Kate, K. and Ravindran, B. (2009) "Epsilon Equitable Partition: A Positional Analysis Method for Large Social Networks". In the Proceedings of 15th International Conference on Management of Data (COMAD 2009). Abstract  PDF

  48. Swapna Raj, P. and Ravindran, B. (2008) "Personalized Web-page Rendering System". In the Proceedings of the Fourteenth International Conference on Management of Data (COMAD 2008), pp. 30-39. Abstract  PDF

  49. Cheboli, D. and Ravindran, B. (2008) "Detection of keratoconus by semi-supervised learning". In the ICML/UAI workshop on Machine Learning in health care applications.+ Abstract  PDF

  50. Ray, A., Kumar, V., Ravindran, B., Dr. Lingam Gopal, and Dr. Verma, A. (2008) "Machine Learning to predict the incidence of Retinopathy of Prematurity". In the Proceedings of the Twenty First Florida AI Research Society Conference (FLAIRS 2008), pp. 300-305. AAAI Press. Abstract  PDF

Text Mining

  1. Nema, P., Khapra, M. M., Laha, A., and Ravindran, B. (2017) "Diversity driven attention model for query-based abstractive summarization". To appear in the Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics (ACL 2017).

  2. Rajendran, J., Khapra, M. M., Chandar, S., Ravindran, B. (2016) "Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning". 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), pp. 171-181. ACL. arXiv version.

  3. Sarath Chandar, A. P., Khapra, M., Larochelle, H., and Ravindran, B. (2016) "Correlational Neural Networks". In Neural Computation, Vol 28, No. 2, pp. 257-285. MIT Press. PDF

  4. Patil, S., and Ravindran, B. (2015) "Active Learning based Weak Supervision for Textual Survey Response Classification". In the Proceedings of the Sixteenth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015). Springer. PDF

  5. Sarath Chandar, A. P., Lauly, S., Larochelle, H., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2014) "An Autoencoder Approach to Learning Bilingual Word Representations". In the Proceedings of the Neural Information Processing Systems conference (NIPS 2014), pp. 1853-1861. PDF

  6. Sarath Chandar, A. P., Khapra, M., Ravindran, B., Raykar, V., and Saha, A. (2013) "Multilingual Deep Learning". In the Deep Learning Workshop at NIPS 2013. +

  7. Ramachandran, L., Ravindran, B., and Gehringer, E. (2013) "Determining Review Coverage by Extracting Topic Sentences Using a Graph-based Clustering Approach". In the Proceedings of the sixth International Conference on Educational Data Mining (EDM 2013).

  8. Banerjee, N., Chakraborty, D., Joshi, A., Mittal, S., Rai, A., and Ravindran, B. (2013) "Detection of Real-Time Intentions from Micro-blogs". In the Proceedings of MobiQuitous 2013, pp. 116-128. (Extended version of the short paper from ICWSM 2012.)

  9. Banerjee, N., Chakraborty, D., Joshi, A., Mittal, S., Rai, A., and Ravindran, B. (2012) "Towards Analyzing Micro-blogs for Detection and Classification of Real-Time Intentions". To appear in the Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM 2012). AAAI Press. PDF

  10. Shivashankar, S., and Ravindran, B. (2010) "Multi Grain Sentiment Analysis using Collective Classification". In the Proceedings of the Nineteenth European Conference on Artificial Intelligence (ECAI 2010), pp. 823-828. IOS Press. PDF

  11. Saravanan, M., and Ravindran, B. (2010) "Identification of Rhetorical Roles for Segmentation and Summarization of a legal judgment". Artificial Intelligence and Law, Volume 18, Issue 1 (March, 2010), pp. 45-76. Springer. PDF (Springer Link)

  12. Shivashankar, S., Ravindran, B., and Srinivasa Raghavan, N. R. (2009) "Text mining of Internet content: The bridge connecting product research with customers in the digital era". In Product Research: The Art and Science Behind Successful Product Launches, Srinivasa Raghavan, N.R. and Cafeo, J. A. (Eds.), pp. 231-242, Nov. 2009. Springer. (Book Chapter).

  13. Saravanan, M., Ravindran, B., and Raman, S. (2009) "Improving Legal Information Retrieval Using Ontological Framework". In Artificial Intelligence and Law, Online 14-May-2009. (In print) Volume 17, Issue 2 (June, 2009), pp. 101-124. Springer.

  14. Arora, R. and Ravindran, B. (2008) "Latent Dirichlet Allocation and Singular Value Decomposition based Multi-Document Summarization". In the Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM 2008). IEEE Press. Abstract  PDF

  15. Swaminathan, P. and Ravindran, B. (2008) "Co-SOFT-Clustering: An Information Theoretic approach to obtain overlapping clusters from co-occurrence data". In the Proceedings of the Twenty First Florida AI Research Society Conference (FLAIRS 2008), pp. 320-321. AAAI Press. Abstract  PDF

  16. Arora, R. and Ravindran, B. (2008) "Latent Dirichlet Allocation Based Multi-Document Summarization". In the Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data (AND 2008), pp.91-97. ACM Press. Abstract  PDF (Best Student Paper)

  17. Jayarajan, D., Deodhare, D., and Ravindran, B. (2008) "Lexical Chains as Document Features". In the Proceedings of the Third International Joint Confernce on Natural Language Processing, IJCNLP 2008, pp. 111-117. Abstract  PDF

  18. Saravanan, M., Ravindran, B., and Raman, S. (2008) "Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization ". In the Proceedings of the Third International Joint Confernce on Natural Language Processing, IJCNLP 2008, pp. 481-488. Abstract  PDF

  19. Saravanan, M., Ravindran, B., and Raman, S. (2007) "Legal Ontology for Query Enhancement". In the Proceedings of the Twentieth Annual Conference on Legal Knowledge and Information Systems(JURIX 2007), pp.171-172. IOS Press. Abstract  PDF

  20. Jayarajan, D., Deodhare, D., Ravindran, B., and Sarkar, S. (2007) "Document Clustering using Lexical Chains". In the Proceedings of the Workshop on Text-Mining & Link-Analysis (TextLink 2007).+ Abstract  PDF

  21. Saravanan, M., Ravindran, B., and Raman, S. (2006) " Improving Legal Document Summarization using Graphical Models " In the Proceedings of the Nineteenth Annual Conference on Legal Knowledge and Information Systems(JURIX 2006), pp. 51-60, IOS Press. Abstract  PDF

  22. Saravanan, M., Raman, S., and Ravindran, B. (2006) "A Probabilistic Approach to Multi-Document Summarization for Generating a Tiled Summary". In International Journal of Computational Intelligence and Applications, Vol. 6, No. 2, June 2006, pp. 231-244. Imperial College Press. (This is an expanded version of the conference paper below.) Abstract  PDF

  23. Saravanan, M., Raman, S., and Ravindran, B. (2005) "A Probabilistic Approach to Multi-Document Summarization for generating a Tiled Summary". In the Proceedings of the International Conference of Computational Intelligence and Multimedia Applications (ICCIMA '05).

  24. Saravanan, M., Ravindran, B., and Raman, S. (2005) "A Review of Automatic Summarization". Presented in the Workshop on Optical character Recognition with workflow and Document Summarization, IIIT Allahabad, March 19-20.+

  25. Awasthi, P., Rao, D. G., and Ravindran, B. (2006) "Part Of Speech Tagging and Chunking with HMM and CRF". In the Proceedings of NLPAI Machine Learning Contest 2006, Mumbai, India.+

Social Network Analysis

  1. Jain, A., Nasre, R., and Ravindran, B. (2017) "DCEIL: Distributed Community Detection with the CEIL Score". To appear in the Proceedings of the Nineteenth IEEE International Conference on High Performance Computing and Communication (HPCC 2017). IEEE Press.

  2. Gupte, P. V., Ravindran, B., and Parthasarthy, S. (2017) "Role Discovery in Graphs using Global Features: Algorithms, Applications and a Novel Evaluation Strategy". In the proceedings of the Thirty-Third IEEE International Conference on Data Engineering (ICDE 2017), pp. 771-782. IEEE Press.

  3. Sankar, V., and Ravindran, B. (2015) "Parallelization of Game Theoretic Centrality Algorithms". In the Special Issue on Applications of Data Sciences of Sadhana, The Engineering Proceedings of the Indian Academy of Sciences, September 2015, Volume 40, Issue 6, pp. 1821-1843. Springer.

  4. Sankar, V., Shivashankar, S., and Ravindran. B. (2015) "CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks". In the Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). PDF

  5. Pasumarthi, R. K., Narayanam, R., and Ravindran, B. (2015) "Near Optimal Strategies for Targeted Marketing on Social Networks". In the Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). ACM Press. (Extended Abstract) PDF

  6. Gurukar, S., Ranu, S., and Ravindran, B. (2015) "COMMIT : A Scalable Approach to Mining Communication Motifs from Dynamic Networks". In the Proceedings of ACM SIGMOD Conference on Management of Data. ACM Press. PDF

  7. Roy, S., and Ravindran, B. (2015) "Measuring Network Centrality Using Hypergraphs". In the Proceedings of the Second ACM-IKDD Conference on Data Sciences (IKDD CoDS). ACM Digital Library. PDF [Best Student Paper]

  8. Pasumarthi, R. K., Narayanam, R., and Ravindran, B. (2014) "Targeted Influence Maximization through a Social Network". Presented at the NIPS workshop on Networks: From Graphs to Rich Data. PDF +

  9. Vijayan, P., Shivashankar, S., and Ravindran, B. (2014) "Multi-label Collective Classification in Multi-attribute Multi-relational Network Data". In the Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), pp. 509-514. PDF

  10. Gupte, P. V. and Ravindran, B. (2014) "Scalable Positional Analysis for Studying Evolution of Nodes in Networks". Accepted for presentation in the Workshop on Mining Networks and Graphs, at the Siam Conference on Data Mining (SDM 14). arXiv +

  11. Gurukar, S., and Ravindran, B. (2014) "Temporal Analysis of Telecom Graphs". In the Proceedings of the Social Networking Workshop at COMSNETS 2014. Springer.

  12. Jain, S. K., Satchidanand, S. N., Maurya, A. K., and Ravindran, B. (2014) "Studying Indian Railways Network using Hypergraphs". In the Proceedings of the Social Networking Workshop at COMSNETS 2014. Springer. (This is an expanded version of the poster presented at NetSci 2013.)

  13. Jain, S. K., Satchidanand, S. N., Maurya, A. K., and Ravindran, B. (2013) "Studying Indian Railways Network using Hypergraphs". Accepted as a poster presentation at the International School and Conference on Network Science (NetSci 2013). Copenhagen, Denmark. +

  14. Michalak, T. P., Aadithya, K. V., Szpzepański, P. L., Ravindran, B., and Jennings, N. R. (2013) "Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality". In the Journal of Artificial Intelligence Research (JAIR), Vol 46, pp. 607-650. March 2013. AAAI Press.

  15. Chaganty, A., Gaur, P., and Ravindran, B. (2012) "Learning in a Small World". In the Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 391-397. ACM Press. PDF

  16. Gupte, P. V. and Ravindran, B. (2012) "Multiple Epsilon Equitable Partitions - Roles and Positional Analysis for Real World Networks". Accepted for presentation at the Thirty Second Sunbelt Social Networks Conference (Sunbelt XXXII).+

  17. Dharwez, S., Shivashankar, S., and Ravindran, B. (2012) "Why Collective Classification is Successful? : A Homophily based Analysis on Network Data". Accepted for presentation at the Thirty Second Sunbelt Social Networks Conference (Sunbelt XXXII).+

  18. Saravanan, M., Bharanidharan, S., and Ravindran, B. (2011) "Collective Learning of the Community Effect on Chrun". Accepted at the Workshop on Collective Learning and Inference on Structured Data, held in conjunction with the Twenty Second European Conference on Machine Learning (ECML PKDD 2011).+

  19. Aadithya, K. V., Ravindran, B., Michalak, T., and Jennings, N. R. (2010) "Efficient Computation of the Shapley Value for Centrality in Networks". In the Proceedings of the Sixth Workshop on Internet and Network Economics (WINE 2010), pp. 1-13. Springer-Verlag. (Associated Technical Report PDF)

  20. Aadithya, K. V. and Ravindran, B. (2010) "Game Theoretic Network Centrality: Exact Formulas and Efficient Algorithms". In the Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 1459-1460. (Extended Abstract) PDF

  21. Kate, K. and Ravindran, B. (2009) "Epsilon Equitable Partition: A Positional Analysis Method for Large Social Networks". In the Proceedings of 15th International Conference on Management of Data (COMAD 2009). Abstract  PDF

Image Processing

  1. Chrungoo, A., Manimaran, S. S., and Ravindran, B. (2014) "Activity Recognition for Natural Human Robot Interaction". In the Proceedings of the Fifth International Conference on Social Robotics (ICSR 2014), pp. 84-94. AAAI Press. PDF

  2. Yousuf, A., and Ravindran, B. (2010) "Visual Object Detection using Frequent Pattern Mining". In the Proceedings of the Twenty Third Florida AI Research Society Conference (FLAIRS 2010), pp. 98-103. AAAI Press. PDF

  3. Awasthi, P., Gagrani, A., and Ravindran, B. (2007) "Image Modeling using Tree Structured Conditional Random Fields". In the Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), pp. 2060-2065. AAAI Press. Abstract  PDF

  4. Gagrani, A., Gupta, L., Ravindran, B., Das, S., Roychowdhury, P., and Panchal, V. K. (2006) "A Hierarchical approach to Landform Classification of Satellite Images using a Fusion Strategy". In the Proceedings of Fifth Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2006).

Robotics/Multi-robot Systems

  1. Prasad,V., Jangir, R., Krishna, K. M., and Ravindran, B. (2017) "Data driven strategies for Active Monocular SLAM using Inverse Reinforcement Learning". To appear in the proceedings of the Sixteenth International Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2017). (Extended Abstract)

  2. Nahas, P., James, F., Ravindran, B., and Shah, S. V. (2016) "RRT-HX: RRT with Heuristic Extend Operations for Motion Planning in Non-Holonomic Systems". To appear in the proceedings of the 2016 ASME IDETC/CIE Mechanisms and Robotics Conference. ASME.

  3. Chrungoo, A., Manimaran, S. S., and Ravindran, B. (2014) "Activity Recognition for Natural Human Robot Interaction". In the Proceedings of the Fifth International Conference on Social Robotics (ICSR 2014), pp. 84-94. AAAI Press. PDF

  4. Manimaran, S. S., and Ravindran, B. (2014) "RRTPI: Policy Iteration on Continuous Domains using Rapidly-exploring Random Trees". In the Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014), pp. 4362-4367. Hong Kong, China. IEEE Press. PDF

  5. Nunez-Varela, J., Ravindran, B., and Wyatt, J. L. (2012) "Gaze Allocation Analysis for a Visually Guided Manipulation Task". In the Proceedings of the Twelfth International Conference on the Simulation of Adaptive Behavior (SAB 2012), pp. 44-53. Springer.

  6. Nunez-Varela, J., Ravindran, B., and Wyatt, J. L. (2012) "Where Do I Look Now? Gaze Allocation During Visually Guided Manipulation". In the Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), pp. 4444-4449. IEEE Press. PDF

  7. Balaji, L., and Ravindran, B. (2010) "Transfer learning across heterogeneous robots with action sequence mapping". In the Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), pp. 3251-3256. IEEE Press. PDF

  8. Aswin, N. R., Manimaran S. S., Ananthapadmanaban, H., and Ravindran, B. (2010) "Accurate Mobile Robot Localization in Indoor environments using Bluetooth". In the Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), pp. 4391-4396. IEEE Press. PDF

  9. Bahuguna, J., Ravindran, B., and Krishna, K. M. (2009) "MDP based Active Localization for Multiple Robots". In the Proceedings of the Fifth Annual IEEE Conference on Automation Science and Engineering (CASE 2009), pp. 635-640. IEEE Press. Abstract  PDF

  10. Balaji, L. and Ravindran, B. (2008) "Transfer Learning with Differently-abled Robots". In the IROS Workshop on Robotics Challenges for Machine Learning.+

  11. Sriram, R. and Ravindran, B. (2008) "Successive Refinement Algorithms for Distributed Area Coverage Using Mobile Robots". In the Proceedings of ACM Compute 2008, Article No. 20. ACM Press.

  12. Sriram, R. and Ravindran, B. (2007) "Homogeneous Hierarchical Composition of Areas in Multi-Robot Area Coverage". In the Proceedings of the Seventh Symposium on Abstraction, Approximation, and Reformulation (SARA 2007), pp. 300-313, LNAI 4612. Springer. Abstract  PDF

  13. Sriram, R. and Ravindran, B. (2007) "Profiling Pseudonet Architecture for Coordinating Mobile Robots". In the Proceedings of the Second IEEE International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007). IEEE Press. Abstract  PDF

Theses and Technical Reports

  1. Ravindran, B. (2004) "An Algebraic Approach to Abstraction in Reinforcement Learning". Doctoral Dissertation, Department of Computer Science, University of Massachusetts, Amherst MA. Abstract  PDF

  2. Ravindran, B. and Barto, A. G. (2001) "Symmetries and Model Minimization of Markov Decision Processes". Computer Science Technical Report 01-43, University of Massachusetts, Amherst, MA. Abstract  PDF

  3. Ravindran, B. (1996) "Solution of Delayed Reinforcement Learning Problems having Continuous Action Spaces", Master's Thesis, Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India. Abstract  PDF
+ No printed proceedings