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a fully probabilistic framework that uses sparsity-inducing hierarchical priors on Tensor Network factors to automatically infer tensor rank and feature dimensions, while also identifying the most relevant features for prediction, thereby enhancing model interpretability.

Creat2025-07-11T22:40:07
Update2025-07-20T23:36:40
https://arxiv.org/abs/2507.11136
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