2 papers
cond-mat.dis-nn2025
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…
cond-mat.dis-nn2025
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…