3 papers
cs.LG2025
A Variational Perspective on Generative Protein Fitness Optimization
Lea Bogensperger, Dominik Narnhofer, Ahmed Allam +2
The goal of protein fitness optimization is to discover new protein variants with enhanced fitness for a given use. The vast search space and the sparsely populated fitness landsca…
cs.LG2025
TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning
Yinghao Zhu, Xiaochen Zheng, Ahmed Allam +1
We propose TAMER, a Test-time Adaptive MoE-driven framework for Electronic Health Record (EHR) Representation learning. TAMER introduces a framework where a Mixture-of-Experts (MoE…
cs.LG2024
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Xiaochen Zheng, Manuel Schürch, Xingyu Chen +5
The identification of phenotypes within complex diseases or syndromes is a fundamental component of precision medicine, which aims to adapt healthcare to individual patient charact…