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Dennis Shung

2 accepted papers

2024

Trajectory Flow Matching with Applications to Clinical Time Series Modelling

NeurIPS 2024spotlight

Modeling stochastic and irregularly sampled time series is a challenging problem found in a wide range of applications, especially in medicine. Neural stochastic differential equations (Neural SDEs) are an attractive modeling technique for this problem, which parameterize the drift and diffusion ter…

Cited by 7SourcePDFScholar
2023

Auditing for Human Expertise

NeurIPS 2023spotlight

High-stakes prediction tasks (e.g., patient diagnosis) are often handled by trained human experts. A common source of concern about automation in these settings is that experts may exercise intuition that is difficult to model and/or have access to information (e.g., conversations with a patient) th…