| Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Proceedings of the National Academy of Sciences 117 (41), 25904-25910, 2020 | 120* | 2020 |
| Learning to prescribe interventions for tuberculosis patients using digital adherence data JA Killian, B Wilder, A Sharma, V Choudhary, B Dilkina, M Tambe Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 66 | 2019 |
| Envisioning communities: a participatory approach towards AI for social good E Bondi, L Xu, D Acosta-Navas, JA Killian Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 425-436, 2021 | 64 | 2021 |
| Collapsing bandits and their application to public health intervention A Mate, J Killian, H Xu, A Perrault, M Tambe Advances in Neural Information Processing Systems 33, 15639-15650, 2020 | 61 | 2020 |
| Q-learning Lagrange policies for multi-action restless bandits JA Killian, A Biswas, S Shah, M Tambe Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 33 | 2021 |
| Beyond" to act or not to act": Fast lagrangian approaches to general multi-action restless bandits JA Killian, A Perrault, M Tambe Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 23 | 2021 |
| Identification of a Recurrent LMO7–BRAF Fusion in Papillary Thyroid Carcinoma H He, W Li, P Yan, R Bundschuh, JA Killian, J Labanowska, P Brock, ... Thyroid 28 (6), 748-754, 2018 | 23 | 2018 |
| Genome-wide DNA hypermethylation opposes healing in patients with chronic wounds by impairing epithelial-mesenchymal transition K Singh, Y Rustagi, AS Abouhashem, S Tabasum, P Verma, E Hernandez, ... The Journal of clinical investigation 132 (17), 2022 | 22 | 2022 |
| Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data JA Killian, KM Passino, A Nandi, DR Madden, J Clapp Proceedings of the 4th International Workshop on Knowledge Discovery in …, 2019 | 19* | 2019 |
| Evaluating COVID-19 lockdown policies for India: A preliminary modeling assessment for individual states A Mate, JA Killian, B Wilder, M Charpignon, A Awasthi, M Tambe, ... Available at SSRN 3575207, 2020 | 16 | 2020 |
| Networked restless multi-armed bandits for mobile interventions HC Ou, C Siebenbrunner, J Killian, MB Brooks, D Kempe, Y Vorobeychik, ... arXiv preprint arXiv:2201.12408, 2022 | 8 | 2022 |
| Robust restless bandits: Tackling interval uncertainty with deep reinforcement learning JA Killian, L Xu, A Biswas, M Tambe Conference on Uncertainty in Artificial Intelligence (UAI) 180, 990-1000, 2022 | 7 | 2022 |
| Evaluating covid-19 lockdown and reopening scenarios for georgia, florida, and mississippi JA Killian, M Charpignon, B Wilder, A Perrault, M Tambe, MS Majumder Florida, and Mississippi (May 12, 2020), 2020 | 5 | 2020 |
| Evaluating COVID-19 lockdown and business-sector-specific reopening policies for three US states JA Killian, M Charpignon, B Wilder, A Perrault, M Tambe, MS Majumder Available at SSRN 3598744, 2020 | 5 | 2020 |
| & Majumder, MS (2020) B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari The role of age distribution and family structure on COVID-19 dynamics: A …, 0 | 5 | |
| Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health JA Killian, M Jain, Y Jia, J Amar, E Huang, M Tambe arXiv preprint arXiv:2308.09726, 2023 | 4 | 2023 |
| Robust planning over restless groups: engagement interventions for a large-scale maternal telehealth program JA Killian, A Biswas, L Xu, S Verma, V Nair, A Taneja, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14295 …, 2023 | 4 | 2023 |
| Limited resource allocation in a non-markovian world: The case of maternal and child healthcare P Danassis, S Verma, JA Killian, A Taneja, M Tambe arXiv preprint arXiv:2305.12640, 2023 | 4 | 2023 |
| Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning JA Killian, L Xu, A Biswas, M Tambe Uncertainty in Artificial Intelligence, 990-1000, 2022 | 4 | 2022 |
| AND NEW YORK CITY B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... | 4 | 2020 |
Ralf BundschuhProfessor of Physics, Chemistry&Biochemistry, and Hematology, The Ohio State UniversityVerified email at mps.ohio-state.edu
