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cs.LG2026
Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
Davide Bizzaro, Alessandro Daniele
Neurosymbolic integration (NeSy) blends neural-network learning with symbolic reasoning. The field can be split between methods injecting hand-crafted rules into neural models, and…
cs.LG2026
Discrete World Models via Regularization
Davide Bizzaro, Luciano Serafini
World models aim to capture the states and dynamics of an environment in a compact latent space. Moreover, using Boolean state representations is particularly useful for search heu…