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Found 5 papers, 0 papers with code
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
Past work demonstrated that using neural networks, we can extend unfinished music pieces while maintaining the music style of the musician.
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence
As a crucial problem in statistics is to decide whether additional variables are needed in a regression model.
Independent Component Analysis via Energy-based and Kernel-based Mutual Dependence Measures
We apply both distance-based (Jin and Matteson, 2017) and kernel-based (Pfister et al., 2016) mutual dependence measures to independent component analysis (ICA), and generalize dCovICA (Matteson and Tsay, 2017) to MDMICA, minimizing empirical dependence measures as an objective function in both deflation and parallel manners.
Optimization and Testing in Linear Non-Gaussian Component Analysis
Linear non-Gaussian component analysis (LNGCA) generalizes the ICA model to a linear latent factor model with any number of both non-Gaussian components (signals) and Gaussian components (noise), where observations are linear combinations of independent components.
Generalizing Distance Covariance to Measure and Test Multivariate Mutual Dependence
We propose three measures of mutual dependence between multiple random vectors.
