36 citations · 132 across the 10 of their papers we have counts for
3 papers · 1 filter
Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions
Shuyu Lu, Ruoyu Chen, Wei Wei +1
Heart failure (HF) is a major cause of mortality. Accurately monitoring HF progress and adjust therapies are critical for improving patient outcomes. An experienced cardiologist ca…
Learning Latent Causal Structures with a Redundant Input Neural Network
Jonathan D. Young, Bryan Andrews, Gregory F. Cooper +1
Most causal discovery algorithms find causal structure among a set of observed variables. Learning the causal structure among latent variables remains an important open problem, pa…
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations
Yifan Xue, Michael Ding, Xinghua Lu
Learning interpretable representations of data remains a central challenge in deep learning. When training a deep generative model, the observed data are often associated with cert…