4 papers
Pretraining EHR Foundation Models with Patient-Aware Sampling
Joshua Placidi, Yuxuan Liu, Jinpei Han +2
Autoregressive foundation models for electronic health records (EHRs) typically inherit pretraining methods from language modeling, where patient trajectories are concatenated into…
Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management
Yuxuan Liu, Jinpei Han, Padmanabhan Ramnarayan +1
Clinical machine learning deployment across institutions faces significant challenges when patient populations and clinical practices differ substantially. We present a systematic…
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
Federico Nardi, Jinpei Han, Shlomi Haar +1
Graph Neural Networks (GNN) can capture the geometric properties of neural representations in EEG data. Here we utilise those to study how reinforcement-based motor learning affect…
Noise-Free Explanation for Driving Action Prediction
Hongbo Zhu, Theodor Wulff, Rahul Singh Maharjan +2
Although attention mechanisms have achieved considerable progress in Transformer-based architectures across various Artificial Intelligence (AI) domains, their inner workings remai…