2 papers
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…
math.PR2025
Fractal and Regular Geometry of Deep Neural Networks
Simmaco Di Lillo, Domenico Marinucci, Michele Salvi +1
We study the geometric properties of random neural networks by investigating the boundary volumes of their excursion sets for different activation functions, as the depth increases…