Author

Alessio Cascione

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#artificial intelligence Preprint Sep 2026

Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

TREVIS is proposed, an approach for learning decision trees with respect to complex objectives, based on the exploration of the latent space of a Tree Transformer Variational Auto-Encoder (TTVAE), that replaces the discrete search space with a continuous one, enabling gradient-based optimization via a differentiable su...

Giacomo Fidone, Alessio Cascione, Riccardo Guidotti · 0 citations

Jul 2026

Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning

This work proposes a hierarchical, interpretable-by-design pivot selection model based on the similarity between pivots and input instances based on the similarity between pivots and input instances, which functions both as a pivot selection technique and a standalone predictive model.

Alessio Cascione, Mattia Setzu, Cristiano Landi et al. · arXiv.org · 0 citations