| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 165 | 2022 |
| Interpretable sequence learning for COVID-19 forecasting S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ... Advances in Neural Information Processing Systems 33, 18807-18818, 2020 | 94 | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| Active reinforcement learning A Epshteyn, A Vogel, G DeJong Proceedings of the 25th international conference on Machine learning, 296-303, 2008 | 49 | 2008 |
| Analytic models and empirical search: A hybrid approach to code optimization A Epshteyn, MJ Garzaran, G DeJong, D Padua, G Ren, X Li, K Yotov, ... Languages and Compilers for Parallel Computing: 18th International Workshop …, 2006 | 39 | 2006 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan SÖ Arık, J Shor, R Sinha, J Yoon, JR Ledsam, LT Le, MW Dusenberry, ... NPJ digital medicine 4 (1), 146, 2021 | 18 | 2021 |
| Qualitative reinforcement learning A Epshteyn, G DeJong Proceedings of the 23rd international conference on machine learning, 305-312, 2006 | 16 | 2006 |
| Generative prior knowledge for discriminative classification A Epshteyn, G DeJong Journal of Artificial Intelligence Research 27, 25-53, 2006 | 14 | 2006 |
| Bert for long documents: A case study of automated icd coding A Afkanpour, S Adeel, H Bassani, A Epshteyn, H Fan, I Jones, M Malihi, ... arXiv preprint arXiv:2211.02519, 2022 | 7 | 2022 |
| Rotational prior knowledge for svms A Epshteyn, G DeJong European Conference on Machine Learning, 108-119, 2005 | 6 | 2005 |
| Interpretable Sequence Learning for COVID-19 Forecasting. arXiv 2020 SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ... arXiv preprint arXiv:2008.00646, 0 | 6 | |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan J Ledsam, S Arik, J Shor, R Sinha, J Yoon, L Le, M Dusenberry, N Yoder, ... | 1 | 2021 |
| Interpretable Sequence Learning for COVID-19 Forecasting (preprint) SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ... | 1 | 2020 |
| Combining prior knowledge and data: Beyond the bayesian framework A Epshteyn | 1 | 2007 |
| Modular design for neural computing problems HC Tseng, A EPSHTEYN Information Sciences 2007, 1587-1593, 2007 | 1 | 2007 |
| A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan (preprint) J Ledsam, S Arik, J Shor, R Sinha, J Yoon, L Le, M Dusenberry, N Yoder, ... | | 2021 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint) EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... | | 2021 |
| Generative Prior Knowledge for Discriminative Classification G DeJong, A Epshteyn arXiv e-prints, arXiv: 1109.6033, 2011 | | 2011 |
| Modular Soft Computing Approach For Aircraft Carrier Landing Trajectory Prediction C Tseng, A Epshteyn New Mathematics and Natural Computation 5 (02), 497-512, 2009 | | 2009 |
| Learning in continuous multidimensional domains A Epshteyn University of Illinois at Urbana-Champaign, 1998 | | 1998 |
