Intention Modulation for Multi-step Tasks in Continuous Time Active Inference. - Matteo Priorelli; Ivilin Peev Stoianov (IWAI, 2022)

Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference. - Matteo Priorelli; Ivilin Peev Stoianov (IWAI, 2023)

Flexible intentions: An Active Inference theory. - Matteo Priorelli; Ivilin Peev Stoianov (Frontiers Comput. Neurosci., 2023)

Learning and Embodied Decisions in Active Inference. - Matteo Priorelli; Ivilin Peev Stoianov; Giovanni Pezzulo (IWAI, 2024)

Hierarchical hybrid modeling for flexible tool use. - Matteo Priorelli; Ivilin Peev Stoianov (CoRR, 2024)

Modeling Motor Control in Continuous Time Active Inference: A Survey. - Matteo Priorelli; Federico Maggiore; Antonella Maselli; Francesco Donnarumma; Domenico Maisto; Francesco Mannella; Ivilin Peev Stoianov; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2024)

Dynamic planning in hierarchical active inference. - Matteo Priorelli; Ivilin Peev Stoianov (Neural Networks, 2025)