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AURA: Angular Update Rate Adaptation for training complex-valued neural networks
Enrico Ballini, Allan Peter Engsig-Karup, Tito Andriollo
Complex-valued neural networks (CVNNs) are increasingly adopted for complex-valued data; however, they are often trained with first-order optimizers inherited from the real-valued…
A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
Enrico Ballini, Allan Peter Engsig-Karup, Tito Andriollo
We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms of harmonic potentials. The app…
Elimination-compensation pruning for fully-connected neural networks
Enrico Ballini, Luca Muscarnera, Alessio Fumagalli +2
The unmatched ability of Deep Neural Networks in capturing complex patterns in large and noisy datasets is often associated with their large hypothesis space, and consequently to t…