4 citations · 6 across the 5 of their papers we have counts for
6 papers
Guardian-regularized Safe Offline Reinforcement Learning for Smart Weaning of Mechanical Circulatory Devices
Aysin Tumay, Sophia Sun, Sonia Fereidooni +3
We study the sequential decision-making problem for automated weaning of mechanical circulatory support (MCS) devices in cardiogenic shock patients. MCS devices are percutaneous mi…
Conformal Prediction for Time-series Forecasting with Change Points
Sophia Sun, Rose Yu
Conformal prediction has been explored as a general and efficient way to provide uncertainty quantification for time series. However, current methods struggle to handle time series…
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process
Sophia Sun, Wenyuan Chen, Zihao Zhou +3
Mechanical Circulatory Support (MCS) devices, implemented as a probabilistic deep sequence model. Existing mechanical simulators for MCS rely on oversimplifying assumptions and are…
Copula Conformal Prediction for Multi-step Time Series Forecasting
Sophia Sun, Rose Yu
Accurate uncertainty measurement is a key step to building robust and reliable machine learning systems. Conformal prediction is a distribution-free uncertainty quantification algo…
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
Sophia Sun
Machine learning methods are increasingly widely used in high-risk settings such as healthcare, transportation, and finance. In these settings, it is important that a model produce…
Probabilistic Symmetry for Multi-Agent Dynamics
Sophia Sun, Robin Walters, Jinxi Li +1
Learning multi-agent dynamics is a core AI problem with broad applications in robotics and autonomous driving. While most existing works focus on deterministic prediction, producin…