| Influence maximization in unknown social networks: Learning policies for effective graph sampling H Kamarthi, P Vijayan, B Wilder, B Ravindran, M Tambe arXiv preprint arXiv:1907.11625, 2019 | 50 | 2019 |
| Data-centric epidemic forecasting: A survey A Rodríguez, H Kamarthi, P Agarwal, J Ho, M Patel, S Sapre, BA Prakash arXiv preprint arXiv:2207.09370, 2022 | 20 | 2022 |
| Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement S Nishtala, H Kamarthi, D Thakkar, D Narayanan, A Grama, A Hegde, ... arXiv preprint arXiv:2006.07590, 2020 | 17 | 2020 |
| Lingkai Kong, Alexander Rodríguez, Chao Zhang, and B Aditya Prakash. When in doubt: Neural non-parametric uncertainty quantification for epidemic forecasting H Kamarthi Advances in Neural Information Processing Systems 34, 19796-19807, 2021 | 16 | 2021 |
| CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash Proceedings of the ACM Web Conference 2022, 3174-3185, 2022 | 13 | 2022 |
| Back2future: Leveraging backfill dynamics for improving real-time predictions in future H Kamarthi, A Rodríguez, BA Prakash arXiv preprint arXiv:2106.04420, 2021 | 11 | 2021 |
| Reinforcement learning for unified allocation and patrolling in signaling games with uncertainty A Venugopal, E Bondi, H Kamarthi, K Dholakia, B Ravindran, M Tambe arXiv preprint arXiv:2012.10389, 2020 | 11 | 2020 |
| When in doubt: Neural non-parametric uncertainty quantification for epidemic forecasting H Kamarthi, L Kong, A Rodriguez, C Zhang, BA Prakash Advances in Neural Information Processing Systems 34, 19796-19807, 2021 | 9 | 2021 |
| Selective intervention planning using restless multi-armed bandits to improve maternal and child health outcomes S Nishtala, L Madaan, A Mate, H Kamarthi, A Grama, D Thakkar, ... arXiv preprint arXiv:2103.09052, 2021 | 8 | 2021 |
| Title evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... Nature communications 15 (1), 6289, 2024 | 7 | 2024 |
| Lstprompt: Large language models as zero-shot time series forecasters by long-short-term prompting H Liu, Z Zhao, J Wang, H Kamarthi, BA Prakash arXiv preprint arXiv:2402.16132, 2024 | 7 | 2024 |
| Profhit: Probabilistic robust forecasting for hierarchical time-series H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash arXiv preprint arXiv:2206.07940, 2022 | 7 | 2022 |
| Large Pre-trained time series models for cross-domain Time series analysis tasks H Kamarthi, BA Prakash arXiv preprint arXiv:2311.11413, 2023 | 3 | 2023 |
| Uncertainty quantification in deep learning L Kong, H Kamarthi, P Chen, BA Prakash, C Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Epidemic Forecasting with a Data-Centric Lens A Rodríguez, H Kamarthi, BA Prakash Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| Lingkai Kong, Alexander Rodriguez, Chao Zhang, and B Aditya Prakash. 2021 H Kamarthi When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic …, 2021 | 3 | 2021 |
| Integrating lexical knowledge in word embeddings using sprinkling and retrofitting A Srinivasan, H Kamarthi, D Ganesan, S Chakraborti arXiv preprint arXiv:1912.06889, 2019 | 2 | 2019 |
| Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity H Kamarthi, AB Sasanur, X Tong, X Zhou, J Peters, J Czyzyk, BA Prakash Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting H Kamarthi, L Kong, A Rodriguez, C Zhang, BA Prakash arXiv preprint arXiv:2407.02641, 2024 | | 2024 |
| Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning H Liu, H Kamarthi, L Kong, Z Zhao, C Zhang, BA Prakash arXiv preprint arXiv:2406.09130, 2024 | | 2024 |
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu