2 papers
stat.CO2026
Fast data inversion for high-dimensional Ornstein-Uhlenbeck processes from noisy measurements
Yizi Lin, Xubo Liu, Paul Segall +1
In this work, we develop a scalable approach for a flexible latent factor model for high-dimensional dynamical systems. Each latent factor process has its own correlation and varia…
stat.AP2026
Unsupervised cell segmentation by fast Gaussian Processes
Laura Baracaldo, Blythe King, Haoran Yan +3
Cell boundary information is crucial for analyzing cell behaviors from time-lapse microscopy videos. Existing supervised cell segmentation tools, such as ImageJ, require tuning var…