Francesco Tudisco

Keywords · Machine learning

deep equilibrium models

1 publication, 2024

2024

Subhomogeneous Deep Equilibrium Models

Pietro Sittoni, Francesco Tudisco

International Conference on Machine Learning (ICML), 2024

Implicit-depth neural networks have grown as powerful alternatives to traditional networks in various applications in recent years. However, these models often lack guarantees of existence and uniqueness, raising stability, performance, and reproducibility issues. In this paper, we present a new analysis of the …