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Paidamoyo Chapfuwa
Paidamoyo Chapfuwa
Microsoft Research, Redmond
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
852018
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
582018
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
182020
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
13*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
6*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
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