Publications
2019
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, and Sriraam Natarajan, Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.
2018
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth and Sriraam Natarajan, Planning with Actively Eliciting Preferences, Knowledge-Based Systems (Elsevier) journal, 2018.
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, and Sriraam Natarajan, Approximate Counting for Fast Inference and Learning in Probabilistic Programming, The International Conference on Probabilistic Programming (PROBPROG), 2018. [2-page Abstract]
Devendra Singh Dhami, Gautam Kunapuli, Mayukh Das, David Page and Sriraam Natarajan, Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities, IEEE/ACM Conference on Connected Health: Applications, Systems & Engineering Technologies (CHASE), 2018.
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Jana Doppa, Dan Roth, and Sriraam Natarajan, Preference-Guided Planning: An Active Elicitation Approach, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
2017
Alexander Lee Hayes, Mayukh Das, Phillip Odom and Sriraam Natarajan, User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams, International Conference on Knowledge Capture (K-CAP), 2017.
Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth, Towards Problem Solving Agents that Communicate and Learn, Proceedings of the First Workshop on Language Grounding for Robotics @ ACL (RoboNLP), 2017.
Mayukh Das, Md. Rakibul Islam, Jana Doppa, Dan Roth, and Sriraam Natarajan, Active Preference Elicitation for Planning, AAAI Workshop on Human-Machine Collaborative Learning (HMCL), 2017.
2016
Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting and Sriraam Natarajan, Scaling Lifted Probabilistic Inference and Learning Via Graph Databases, SIAM International Conference on Data Mining (SDM), 2016.
2015
Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, and Sriraam Natarajan, Graph-based Approximate Counting for Relational Probabilistic Models, International Workshop on Statistical Relational AI (StarAI) 2015.