# A Modified Convolutional Network for Auto-encoding based on Pattern Theory Growth Function

arXiv: https://arxiv.org/abs/2104.02651 · HTML: https://mlsanity.com/paper/2104.02651/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 6 references that are in the map.
- First posted on arXiv 4 Apr 2021.

## Builds on (most cited first, 3 of 3)

- [Score-Based Generative Modeling through Stochastic Differential Equations](https://mlsanity.com/paper/2011.13456/) (2020)
- [Auto-Encoding Variational Bayes](https://mlsanity.com/paper/1312.6114/) (2013)
- [Convolutional Neural Network Interpretability with General Pattern Theory](https://mlsanity.com/paper/2102.04247/) (2021)

## Abstract (arXiv)

This brief paper reports the shortcoming of a variant of convolutional neural network whose components are developed based on the pattern theory framework.
