AIDB Lab : Artificial Intelligence and DatabasesLink to Lab Webpage

Research AreasPlanning, Knowledge Representation, Artifical Neural Networks, Memory Based Reasoning.
MembersFaculty : Sutanu Chakraborti, Deepak Khemani, P. Sreenivasa Kumar, N.S. Narayanaswamy, Sayan Ranu, Balaraman Ravindran.

Students/Scholars :
Project Staffs :

Recent Publications
  • Diversity driven attention model for query-based abstractive summarization.  
           Preksha Nema , Mitesh M. Khapra , Anirban Laha , Balaraman Ravindran
          Appeared in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers, pp.1063-1072, Aug 2017
  • Thresholding Bandits with Augmented UCB.  
           Subhojyoti Mukherjee , Kolar Purushothama Naveen , Nandan Sudarsanam , Balaraman Ravindran
          Appeared in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pp.2515-2521, Aug 2017
  • Protein Word Detection using Text Segmentation Techniques.  
           Devi Ganesan , Ashish V. Tendulkar , Sutanu Chakraborti
          Appeared in BioNLP 2017, Vancouver, Canada, August 4, 2017, pp.238-246, Aug 2017
  • Competence Guided Model for Casebase Maintenance.  
           Ditty Mathew , Sutanu Chakraborti
          Appeared in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pp.4904-4908, Aug 2017
  • Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning.  
           Vignesh Prasad , Rishabh Jangir , Balaraman Ravindran , K. Madhava Krishna
          Appeared in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, So Paulo, Brazil, May 8-12, 2017, pp.1697-1699, May 2017

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