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Entropy (Basel, Switzerland)|June 26, 2025
Deep Hybrid Models: Infer and Plan in a Dynamic WorldMatteo Priorelli, Ivilin Peev StoianovNeural Networks : the Official Journal of the International Neural Network Society|January 16, 2025
Dynamic planning in hierarchical active inferenceMatteo Priorelli, Ivilin Peev StoianovFrontiers in Computational Neuroscience|April 6, 2023
Flexible intentions: An Active Inference theoryMatteo Priorelli, Ivilin Peev StoianovHeliyon|November 5, 2024
Slow but flexible or fast but rigid? Discrete and continuous processes comparedMatteo Priorelli, Ivilin Peev StoianovIEEE Transactions on Pattern Analysis and Machine Intelligence|August 11, 2025
Dynamic Inference by Model ReductionMatteo Priorelli, Ivilin Peev StoianovBiomimetics (Basel, Switzerland)|September 27, 2023
Active Vision in Binocular Depth Estimation: A Top-Down PerspectiveMatteo Priorelli, Giovanni Pezzulo, Ivilin Peev StoianovPlos Computational Biology|June 18, 2025
Embodied decisions as active inferenceMatteo Priorelli, Ivilin Peev Stoianov, Giovanni PezzuloProceedings of the National Academy of Sciences of the United States of America|December 12, 2023
Deep kinematic inference affords efficient and scalable control of bodily movementsMatteo Priorelli, Giovanni Pezzulo, Ivilin Peev StoianovThe Behavioral and Brain Sciences|January 19, 2018
Computational foundations of the visual number senseIvilin Peev Stoianov, Marco ZorziAnnals of the New York Academy of Sciences|March 26, 2024
Neural representation in active inference: Using generative models to interact with-and understand-the lived worldGiovanni Pezzulo, Leo D'Amato, Francesco Mannella, et al.Pageof 2