3 papers
cs.LG2026
Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
Chris Sainsbury, Feng Dong, Andreas Karwath
Sparse autoencoders (SAEs) have been applied to large language models and protein language models, but not systematically to electronic health record (EHR) foundation models. We tr…
cs.LG2026
FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
Chris Sainsbury, Feng Dong, Andreas Karwath
Autoregressive models can predict clinical events, but generating patient-conditioned multi-step trajectories that respond to intervention tokens and testing whether those response…
cs.LG2025
Linear Causal Discovery with Interventional Constraints
Zhigao Guo, Feng Dong
Incorporating causal knowledge and mechanisms is essential for refining causal models and improving downstream tasks such as designing new treatments. In this paper, we introduce a…