AIDB Lab : Artificial Intelligence and DatabasesLink to Lab Webpage

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

Students/Scholars :
Project Staffs :

Recent Publications
  • Succinct Data Structure for Chordal Graphs with Bounded Vertex Leafage.  
           Girish Balakrishnan , Sankardeep Chakraborty , N.S. Narayanaswamy , Kunihiko Sadakane
          Appeared in 19th Scandinavian Symposium and Workshops on Algorithm Theory, SWAT 2024, June 12-14, 2024, Helsinki, Finland, LIPIcs, Vol 294, pp.4:1-4:16, Jun 2024
  • MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning.  
           Aravind Venugopal , Stephanie Milani , Fei Fang , Balaraman Ravindran
          Appeared in Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024, pp.1865-1873, May 2024
  • Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis.  
           Sangameshwar Patil , Balaraman Ravindran
          Appeared in 21st IEEE/ACM International Conference on Mining Software Repositories, MSR 2024, Lisbon, Portugal, April 15-16, 2024, pp.140-141, Apr 2024
  • Succinct Data Structure for Graphs with d-Dimensional t-Representation.  
           Girish Balakrishnan , Sankardeep Chakraborty , Seungbum Jo , N.S. Narayanaswamy , Kunihiko Sadakane
          Appeared in Data Compression Conference, DCC 2024, Snowbird, UT, USA, March 19-22, 2024, pp.546, Mar 2024
  • A Faster Algorithm for Vertex Cover Parameterized by Solution Size.  
           David G. Harris , N.S. Narayanaswamy
          Appeared in 41st International Symposium on Theoretical Aspects of Computer Science, STACS 2024, March 12-14, 2024, Clermont-Ferrand, France, LIPIcs, Vol 289, pp.40:1-40:18, Mar 2024

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