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stat.ML2025
Critical Points of Random Neural Networks
Simmaco Di Lillo
This work investigates the expected number of critical points of random neural networks with different activation functions as the depth increases in the infinite-width limit. Unde…
stat.ML2025
Spectral complexity of deep neural networks
Simmaco Di Lillo, Domenico Marinucci, Michele Salvi +1
It is well-known that randomly initialized, push-forward, fully-connected neural networks weakly converge to isotropic Gaussian processes, in the limit where the width of all layer…