6 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
Luca Colombo, Fabrizio Pittorino, Daniele Zambon +3
Binary Neural Networks (BNNs), which constrain both weights and activations to binary values, offer substantial reductions in computational complexity, memory footprint, and energy…
Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
Davide Badalotti, Carlo Baldassi, Marc Mézard +2
We investigate recurrent neural networks with asymmetric interactions and demonstrate that the inclusion of self-couplings or sparse excitatory inter-module connections leads to th…
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
Elizaveta Demyanenko, Davide Straziota, Carlo Baldassi +1
We consider random instances of non-convex perceptron problems in the high-dimensional limit of a large number of examples and weights , with finite load . We develo…