Morpheme Extraction Task at FIRE 2012-2013. - Rashmi Sankepally; Harsha Kokel; Komal Agarwal; Prasenjit Majumder (FIRE, 2013)

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. - Harsha Kokel; Phillip Odom; Shuo Yang 004; Sriraam Natarajan (AAAI, 2020)

A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. - Athresh Karanam; Alexander L. Hayes; Harsha Kokel; David M. Haas; Predrag Radivojac; Sriraam Natarajan (AIME, 2021)

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. - Harsha Kokel; Arjun Manoharan; Sriraam Natarajan; Balaraman Ravindran; Prasad Tadepalli (ICAPS, 2021)

Dynamic probabilistic logic models for effective abstractions in RL. - Harsha Kokel; Arjun Manoharan; Sriraam Natarajan; Balaraman Ravindran; Prasad Tadepalli (CoRR, 2021)

How to Reduce Action Space for Planning Domains? (Student Abstract). - Harsha Kokel; Junkyu Lee 001; Michael Katz 001; Shirin Sohrabi; Kavitha Srinivas (AAAI, 2022)

Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. - Harsha Kokel; Nikhilesh Prabhakar; Balaraman Ravindran; Erik Blasch; Prasad Tadepalli; Sriraam Natarajan (FUSION, 2022)

ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. - Athresh Karanam; KrishnaTeja Killamsetty; Harsha Kokel; Rishabh K. Iyer (NeurIPS, 2022)

Human-guided Collaborative Problem Solving: A Natural Language based Framework. - Harsha Kokel; Mayukh Das; Md. Rakibul Islam 001; Julia Bonn; Jon Z. Cai; Soham Dan; Anjali Narayan-Chen; Prashant Jayannavar; Janardhan Rao Doppa; Julia Hockenmaier; Sriraam Natarajan; Martha Palmer; et al. (CoRR, 2022)

Action Space Reduction for Planning Domains. - Harsha Kokel; Junkyu Lee 001; Michael Katz 001; Kavitha Srinivas; Shirin Sohrabi (IJCAI, 2023)

LakeBench: Benchmarks for Data Discovery over Data Lakes. - Kavitha Srinivas; Julian Dolby; Ibrahim Abdelaziz; Oktie Hassanzadeh; Harsha Kokel; Aamod Khatiwada; Tejaswini Pedapati; Subhajit Chaudhury; Horst Samulowitz (CoRR, 2023)

RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. - Harsha Kokel; Sriraam Natarajan; Balaraman Ravindran; Prasad Tadepalli (Neural Comput. Appl., 2023)

Large Language Models as Planning Domain Generators (Student Abstract). - James T. Oswald; Kavitha Srinivas; Harsha Kokel; Junkyu Lee 001; Michael Katz 001; Shirin Sohrabi (AAAI, 2024)

Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). - Brandon Rozek; Junkyu Lee 001; Harsha Kokel; Michael Katz 001; Shirin Sohrabi (AAAI, 2024)

Large Language Models as Planning Domain Generators. - James T. Oswald; Kavitha Srinivas; Harsha Kokel; Junkyu Lee 001; Michael Katz 001; Shirin Sohrabi (ICAPS, 2024)

Thought of Search: Planning with Language Models Through The Lens of Efficiency. - Michael Katz 001; Harsha Kokel; Kavitha Srinivas; Shirin Sohrabi (NeurIPS, 2024)

Planning with Language Models Through The Lens of Efficiency. - Michael Katz 001; Harsha Kokel; Kavitha Srinivas; Shirin Sohrabi (CoRR, 2024)

Automating Thought of Search: A Journey Towards Soundness and Completeness. - Daniel Cao; Michael Katz 001; Harsha Kokel; Kavitha Srinivas; Shirin Sohrabi (CoRR, 2024)

Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract). - Daniel Cao; Michael Katz 001; Harsha Kokel; Kavitha Srinivas; Shirin Sohrabi (AAAI, 2025)

ACPBench: Reasoning About Action, Change, and Planning. - Harsha Kokel; Michael Katz 001; Kavitha Srinivas; Shirin Sohrabi (AAAI, 2025)

TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. - Aamod Khatiwada; Harsha Kokel; Ibrahim Abdelaziz; Subhajit Chaudhury; Julian Dolby; Oktie Hassanzadeh; Zhenhan Huang; Tejaswini Pedapati; Horst Samulowitz; Kavitha Srinivas (ICDE, 2025)

Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains. - Nikhilesh Prabhakar; Ranveer Singh; Harsha Kokel; Sriraam Natarajan; Prasad Tadepalli (AAMAS, 2025)

Can Cross Encoders Produce Useful Sentence Embeddings? - Haritha Ananthakrishnan; Julian Dolby; Harsha Kokel; Horst Samulowitz; Kavitha Srinivas (CoRR, 2025)

ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning. - Harsha Kokel; Michael Katz 001; Kavitha Srinivas; Shirin Sohrabi (CoRR, 2025)

Make Planning Research Rigorous Again! - Michael Katz 001; Harsha Kokel; Christian Muise; Shirin Sohrabi; Sarath Sreedharan (CoRR, 2025)

TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search. - Harsha Kokel; Aamod Khatiwada; Tejaswini Pedapati; Haritha Ananthakrishnan; Oktie Hassanzadeh; Horst Samulowitz; Kavitha Srinivas (CoRR, 2025)

Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game. - Michael Katz 001; Harsha Kokel; Sarath Sreedharan (CoRR, 2025)