Search Results for author: Paidamoyo Chapfuwa

Found 7 papers, 7 papers with code

Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations

1 code implementation25 Feb 2022 Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao

Understanding the effects of these system inputs on system outputs is crucial to have any meaningful model of a dynamical system.

Time Series

Flexible Triggering Kernels for Hawkes Process Modeling

1 code implementation3 Feb 2022 Yamac Alican Isik, Connor Davis, Paidamoyo Chapfuwa, Ricardo Henao

Recently proposed encoder-decoder structures for modeling Hawkes processes use transformer-inspired architectures, which encode the history of events via embeddings and self-attention mechanisms.

Survival Cluster Analysis

1 code implementation29 Feb 2020 Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao

As a result, there is an unmet need in survival analysis for identifying subpopulations with distinct risk profiles, while jointly accounting for accurate individualized time-to-event predictions.

Survival Analysis

Survival Function Matching for Calibrated Time-to-Event Predictions

1 code implementation21 May 2019 Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao

We present a survival function estimator for probabilistic predictions in time-to-event models, based on a neural network model for draws from the distribution of event times, without explicit assumptions on the form of the distribution.

Adversarial Time-to-Event Modeling

4 code implementations ICML 2018 Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Goldstein, Lawrence Carin, Ricardo Henao

Modern health data science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support clinical practice.

Survival Analysis

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