BTN-Kernel-Machines
Publica 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.