activity
20172026
most citedDeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

2 citations · 4 across the 8 of their papers we have counts for

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2 papers · 1 filter

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…