5 citations · 10 across the 5 of their papers we have counts for
5 papers
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective
Andrea Addazi, Konstantin Belotsky, Vitaly Beylin +18
The multi-messenger exploration of dark matter and physics beyond the Standard Model has emerged as a central direction in modern astro-particle physics, particularly following the…
Control flow in active inference systems
Chris Fields, Filippo Fabrocini, Karl Friston +4
Living systems face both environmental complexity and limited access to free-energy resources. Survival under these conditions requires a control system that can activate, or deplo…
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
Antonino Marciano, Emanuele Zappala, Tommaso Torda +5
Deep Neural Networks miss a principled model of their operation. A novel framework for supervised learning based on Topological Quantum Field Theory that looks particularly well su…
Deep Neural Networks as the Semi-classical Limit of Quantum Neural Networks
Antonino Marciano, Deen Chen, Filippo Fabrocini* +7
Our work intends to show that: (1) Quantum Neural Networks (QNN) can be mapped onto spinnetworks, with the consequence that the level of analysis of their operation can be carried…
Generalized Holographic Principle, Gauge Invariance and the Emergence of Gravity a la Wilczek
Andrea Addazi, Pisin Chen, Filippo Fabrocini +5
We show that a generalized version of the holographic principle can be derived from the Hamiltonian description of information flow within a quantum system that maintains a separab…