iLoRA is the first Bayesian graph-conditioned LoRA framework that infers latent interaction graphs to generate input-dependent low-rank updates, jointly learning predictions and structure for microbiome diagnosis.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Tri-SfSVD is a unified sparse functional SVD framework that performs simultaneous subject, feature, and temporal selection for biclustering and triclustering in longitudinal omics and EEG data.
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Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data
Tri-SfSVD is a unified sparse functional SVD framework that performs simultaneous subject, feature, and temporal selection for biclustering and triclustering in longitudinal omics and EEG data.