| Adversarial time-to-event modeling P Chapfuwa, C Tao, C Li, C Page, B Goldstein, L Carin, R Henao International Conference on Machine Learning, 735-744, 2018 | 93 | 2018 |
| Nash: Toward end-to-end neural architecture for generative semantic hashing D Shen, Q Su, P Chapfuwa, W Wang, G Wang, L Carin, R Henao Association for Computational Linguistics, 2041-2050, 2018 | 57 | 2018 |
| Survival cluster analysis P Chapfuwa, C Li, N Mehta, L Carin, R Henao Proceedings of the ACM Conference on Health, Inference, and Learning, 60-68, 2020 | 21 | 2020 |
| Enabling counterfactual survival analysis with balanced representations P Chapfuwa, S Assaad, S Zeng, MJ Pencina, L Carin, R Henao Proceedings of the Conference on Health, Inference, and Learning, 133-145, 2021 | 18* | 2021 |
| Calibration and uncertainty in neural time-to-event modeling P Chapfuwa, C Tao, C Li, I Khan, KJ Chandross, MJ Pencina, L Carin, ... IEEE transactions on neural networks and learning systems, 2020 | 8* | 2020 |
| Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations P Chapfuwa, S Rose, L Carin, E Meeds, R Henao Conference on Uncertainty in Artificial Intelligence, 2022 | | 2022 |
| Flexible Triggering Kernels for Hawkes Process Modeling YA Isik, C Davis, P Chapfuwa, R Henao arXiv preprint arXiv:2202.01869, 2022 | | 2022 |
| Flexible Triggering Kernels for Hawkes Process Modeling Y Alican Isik, C Davis, P Chapfuwa, R Henao arXiv e-prints, arXiv: 2202.01869, 2022 | | 2022 |
| Probabilistic Time-to-Event Modeling Approaches for Risk Profiling P Chapfuwa Duke University, 2021 | | 2021 |
| Flexible Triggering Kernels for Hawkes Process Modeling (preprint) YA Isik, C Davis, P Chapfuwa, R Henao | | |
Ricardo HenaoKing Abdullah University of Science and Technology, Duke UniversityVerified email at duke.edu
