Tag: copula
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Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies arXiv:2509.19707v1 Announce Type: new Abstract: Copulas are a fundamental tool for modelling multivariate dependencies in data, forming the method of choice in diverse fields and applications. However, the adoption of existing models for multimodal and high-dimensional dependencies is hindered by restrictive assumptions and poor scaling. In this…
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Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction arXiv:2507.14641v1 Announce Type: new Abstract: This research integrates deep learning, copula functions, and survival analysis to effectively handle highly correlated and right-censored multivariate survival data. It introduces copula-based activation functions (Clayton, Gumbel, and their combinations) to model the nonlinear dependencies inherent in such…
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Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features
Theoretical Foundations of the Deep Copula Classifier: A Generative Approach to Modeling Dependent Features arXiv:2505.22997v1 Announce Type: new Abstract: Traditional classifiers often assume feature independence or rely on overly simplistic relationships, leading to poor performance in settings where real-world dependencies matter. We introduce the Deep Copula Classifier (DCC), a generative model that separates the learning…