1 citations · 1 across the 3 of their papers we have counts for
3 papers
Neural Integral Operators for Inverse Problems: An Operator-Learning Framework for Small-Sample Spectroscopic Classification
Emanuele Zappala, Alice Giola, Andreas Kramer +2
Learning maps between function spaces with a strong inductive bias is a central challenge in soft computing, especially when training data are scarce and standard deep architecture…
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…