# A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks

arXiv: https://arxiv.org/abs/2101.12017 · HTML: https://mlsanity.com/paper/2101.12017/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 2 references that are in the map.
- First posted on arXiv 21 Jan 2021.

## Builds on (most cited first, 1 of 1)

- [Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification](https://mlsanity.com/paper/1502.01852/) (2015)

## Abstract (arXiv)

A fully rigorous proof of the derivation of Xavier/He's initialization for ReLU nets is given.