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Keerthiram Murugesan
Keerthiram Murugesan
Research Scientist, IBM Research AI/ Carnegie Mellon University
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Thinking Fast and Slow in AI
G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ...
Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
962021
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ...
Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
592021
Adaptive Smoothed Online Multi-Task Learning
K Murugesan, H Liu, J Carbonell, Y Yang
Advances in Neural Information Processing Systems (NIPS 2016), 2016
502016
Self-Paced Multitask Learning with Shared Knowledge
K Murugesan, J Carbonell
Proceedings of the 26th International Joint Conference on Artificial …, 2017
412017
Hybrid bisect K-means clustering algorithm
K Murugesan, J Zhang
2011 International Conference on Business Computing and Global …, 2011
392011
Plansformer: Generating symbolic plans using transformers
V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ...
arXiv preprint arXiv:2212.08681, 2022
332022
Enhancing text-based reinforcement learning agents with commonsense knowledge
K Murugesan, M Atzeni, P Shukla, M Sachan, P Kapanipathi, ...
arXiv preprint arXiv:2005.00811, 2020
312020
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
HD Fernando, H Shen, M Liu, S Chaudhury, K Murugesan, T Chen
Proceeding of 11th International Conference on Learning Representations …, 2023
292023
Active learning from peers
K Murugesan, J Carbonell
Advances in Neural Information Processing Systems 30, 2017
252017
Hybrid hierarchical clustering: An experimental analysis
K Murugesan, J Zhang
University of Kentucky, Lexington, Technical Report: CMIDA-HiPSCCS, 001-11, 2011
232011
Multi-Task Multiple Kernel Relationship Learning
K Murugesan, J Carbonell
Proceedings of the 17th SIAM International Conference on Data Mining (SDM …, 2017
202017
Understanding the capabilities of large language models for automated planning
V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ...
arXiv preprint arXiv:2305.16151, 2023
182023
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations
K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, M Sachan, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
162021
Multitask Matrix Completion for Learning Protein Interactions Across Diseases
M Kshirsagar, J Carbonell, J Klein-Seetharaman, K Murugesan
International Conference on Research in Computational Molecular Biology …, 2016
162016
Case-based Reasoning for Better Generalization in Text-Adventure Games
M Atzeni, S Dhuliawala, K Murugesan, M Sachan
Proceedings of 10th International Conference on Learning Representations …, 2022
14*2022
On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)
V Pallagani, BC Muppasani, K Roy, F Fabiano, A Loreggia, K Murugesan, ...
Proceedings of the International Conference on Automated Planning and …, 2024
132024
A hybrid neuro-symbolic approach for text-based games using inductive logic programming
K Basu, K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, ...
Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2022
132022
Co-clustering for multitask learning
K Murugesan, J Carbonell, Y Yang
arXiv preprint arXiv:1703.00994, 2017
122017
A New Term Weighting Scheme for Document Clustering
K Murugesan, J Zhang
102011
Fast and slow planning
F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ...
arXiv preprint arXiv:2303.04283, 2023
92023
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