# Deep one-gate per layer networks with skip connections are universal classifiers

arXiv: https://arxiv.org/abs/2511.05552 · HTML: https://mlsanity.com/paper/2511.05552/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 2 Nov 2025.

## Abstract (arXiv)

This paper shows how a multilayer perceptron with two hidden layers, which has been designed to classify two classes of data points, can easily be transformed into a deep neural network with one-gate layers and skip connections.