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Harshavardhan Kamarthi
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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
552019
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
242022
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
182020
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
172022
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
172021
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
162024
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
162024
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
132020
Back2future: Leveraging backfill dynamics for improving real-time predictions in future
H Kamarthi, A Rodríguez, BA Prakash
arXiv preprint arXiv:2106.04420, 2021
122021
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
112021
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
102021
Profhit: Probabilistic robust forecasting for hierarchical time-series
H Kamarthi, L Kong, A Rodríguez, C Zhang, BA Prakash
arXiv preprint arXiv:2206.07940, 2022
92022
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
42024
Large Pre-trained time series models for cross-domain Time series analysis tasks
H Kamarthi, BA Prakash
arXiv preprint arXiv:2311.11413, 2023
42023
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
42023
Machine learning for data-centric epidemic forecasting
A Rodríguez, H Kamarthi, P Agarwal, J Ho, M Patel, S Sapre, BA Prakash
Nature Machine Intelligence 6 (10), 1122-1131, 2024
32024
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
32022
Lingkai Kong, Alexander Rodriguez, Chao Zhang, and B Aditya Prakash. 2021
H Kamarthi
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic …, 2021
32021
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
22024
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
H Liu, S Xu, Z Zhao, L Kong, H Kamarthi, AB Sasanur, M Sharma, J Cui, ...
arXiv preprint arXiv:2406.08627, 2024
22024
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