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ORCIDPavankumar Murali
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2020 – today
- 2025
[i3]Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri:
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. CoRR abs/2502.05352 (2025)- 2024
- [i2]Bekir O. Turkkan, Pavankumar Murali, Pavithra Harsha, Rohan R. Arora, Gerard Vanloo, Chandra Narayanaswami:
Optimal Workload Placement on Multi-Instance GPUs. CoRR abs/2409.06646 (2024) - 2022
- [j2]Jayant Kalagnanam, Dzung T. Phan
, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva:
AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. INFORMS J. Appl. Anal. 52(4): 363-378 (2022) - 2021
- [c8]Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam:
Regression Optimization for System-level Production Control. ACC 2021: 5023-5028 - 2020
- [c7]Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam:
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. NeurIPS 2020 - [i1]Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam:
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. CoRR abs/2011.03375 (2020)
2010 – 2019
- 2019
- [c6]Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam:
A Prediction-Optimization Framework for Site-Wide Process Optimization. ICIOT 2019: 125-132 - 2018
- [c5]Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu:
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability. NeurIPS 2018: 5809-5818 - 2015
- [c4]Ying Li, Pavankumar Murali, Nan Shao, Anshul Sheopuri:
Applying Data Mining Techniques to Direct Marketing: Challenges and Solutions. ICDM Workshops 2015: 319-327 - [c3]Pavankumar Murali, Ying Li, Pietro Mazzoleni, Roman Vaculín:
Optimal budget allocation strategies for real time bidding in display advertising. WSC 2015: 3146-3147 - 2014
- [j1]Wei Sun, Pavankumar Murali, Anshul Sheopuri, Yi-Min Chee:
Designing promotions: Consumers' surprise and perception of discounts. IBM J. Res. Dev. 58(5/6) (2014) - [c2]Nan Shao, Pavankumar Murali, Anshul Sheopuri:
New Developments in Culinary Computational Creativity. ICCC 2014: 324-327 - 2013
- [c1]Ajay Deshpande, Pavankumar Murali:
Pricing long-term permits and scheduling of electric vehicle charging in parking lots with shared resources. ECC 2013: 3584-3589
Coauthor Index
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