Harsha Kokel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | QueryGym: Step-by-Step Interaction with Relational Databases. | Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas |
| 2025 | AAAI | Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract). | Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi |
| 2025 | AAAI | ACPBench: Reasoning About Action, Change, and Planning. | Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi |
| 2025 | ICDE | 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 |
| 2025 | VLDB | 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 |
| 2024 | AAAI | Large Language Models as Planning Domain Generators (Student Abstract). | James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi |
| 2024 | AAAI | Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). | Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi |
| 2024 | ICAPS | Large Language Models as Planning Domain Generators. | James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi |
| 2023 | IJCAI | Action Space Reduction for Planning Domains. | Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi |
| 2022 | AAAI | How to Reduce Action Space for Planning Domains? (Student Abstract). | Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas |
| 2022 | FUSION | Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. | Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan |
| 2021 | AIME | 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 |
| 2020 | AAAI | A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. | Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan |