3 papers
q-bio.NC2025
A Rate-Distortion Perspective on the Emergence of Number Sense in Unsupervised Generative Models
Leo D'Amato, Davide Nuzzi, Alberto Testolin +3
Number sense is a core cognitive ability supporting various adaptive behaviors and is foundational for mathematical learning. Here, we study its emergence in unsupervised generativ…
cs.RO2025
Deep hybrid models: infer and plan in a dynamic world
Matteo Priorelli, Ivilin Peev Stoianov
To determine an optimal plan for complex tasks, one often deals with dynamic and hierarchical relationships between several entities. Traditionally, such problems are tackled with…
cs.AI2024
Dynamic planning in hierarchical active inference
Matteo Priorelli, Ivilin Peev Stoianov
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings f…