Factor Analysis
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State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization
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Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
arXiv:2312.07762v3 Announce Type: replace Abstract: Psychiatry research seeks to understand the manifestations of psychopathology in behavior, as measured in questionnaire data, by identifying a small number of latent factors that explain them. While factor analysis is the traditional tool for this purpose, the resulting factors may not be interpretable, and may also be subject to confounding variables. Moreover, missing data are common, and explicit imputation is often required.
Diff-CA: Separating Common and Salient Factors with Diffusion Models
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Unified Energy for Invariant and Independent Decoding in Diffusion Language Models
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