ML Lab

📄 Our expanded study on data-efficient sleep staging with synthetic time series pretraining has been published in Algorithms! Building on our ICLR 2024 workshop contribution, we demonstrate how learning from randomly generated signals can improve sleep staging when only a small amount of labeled patient data is available. Read the paper.