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cs.LG2026
Time-Series Classification with Multivariate Statistical Dependence Features
Yao Sun, Bo Hu, Jose Principe
In this paper, we propose a novel framework for non-stationary time-series analysis that replaces conventional correlation-based statistics with direct estimation of statistical de…
cs.LG2026
A Stable Neural Statistical Dependence Estimator for Autoencoder Feature Analysis
Bo Hu, Jose C Principe
Statistical dependence measures like mutual information is ideal for analyzing autoencoders, but it can be ill-posed for deterministic, static, noise-free networks. We adopt the va…