2024
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
ICLR 2024poster
Tucker decomposition is a powerful tensor model to handle multi-aspect data. It demonstrates the low-rank property by decomposing the grid-structured data as interactions between a core tensor and a set of object representations (factors). A fundamental assumption of such decomposition is that ther…