2 papers
stat.ML2026
Functional Autoencoders for Amplitude-Phase Representation Learning
Peida Wu, Xinyang Xiong, Pengcheng Zeng
Functional data are intrinsically infinite-dimensional, and often exhibit phase variation, where corresponding events occur at different times across observations. Existing linear…
stat.ML2026
NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data
Xinyang Xiong, Siyuan jiang, Pengcheng Zeng
Clustering functional data in the presence of phase variation is challenging, as temporal misalignment can obscure intrinsic shape differences and degrade clustering performance. M…