3 papers
cs.LG2025
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
Xin Du, Sikun Yang, Wouter Duivesteijn +1
Understanding the nuanced performance of machine learning models is essential for responsible deployment, especially in high-stakes domains like healthcare and finance. This paper…
cs.CV2025
Revolutionizing Brain Tumor Imaging: Generating Synthetic 3D FA Maps from T1-Weighted MRI using CycleGAN Models
Xin Du, Francesca M. Cozzi, Rajesh Jena
Fractional anisotropy (FA) and directionally encoded colour (DEC) maps are essential for evaluating white matter integrity and structural connectivity in neuroimaging. However, the…
cs.LG2024
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
We present {\em generative clustering} (GC) for clustering a set of documents, , by using texts generated by large language models (LLMs) instead of by clu…