# Entropic associative memory for real world images

arXiv: https://arxiv.org/abs/2405.12500 · HTML: https://mlsanity.com/paper/2405.12500/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 14 of its 53 references that are in the map.
- First posted on arXiv 21 May 2024.

## Builds on (most cited first, 14 of 14)

- [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://mlsanity.com/paper/2010.11929/) (2020)
- [DINOv2: Learning Robust Visual Features without Supervision](https://mlsanity.com/paper/2304.07193/) (2023)
- [Dense Associative Memory for Pattern Recognition](https://mlsanity.com/paper/1606.01164/) (2016)
- [EMNIST: an extension of MNIST to handwritten letters](https://mlsanity.com/paper/1702.05373/) (2017)
- [Associative Memories via Predictive Coding](https://mlsanity.com/paper/2109.08063/) (2021)
- [Associative Long Short-Term Memory](https://mlsanity.com/paper/1602.03032/) (2016)
- [Self-Attentive Associative Memory](https://mlsanity.com/paper/2002.03519/) (2020)
- [Neuron-Astrocyte Associative Memory](https://mlsanity.com/paper/2311.08135/) (2023)
- [CIFAR-10 Image Classification Using Feature Ensembles](https://mlsanity.com/paper/2002.03846/) (2020)
- [An Entropic Associative Memory](https://mlsanity.com/paper/2009.13058/) (2020)
- [On the Relationship Between Variational Inference and Auto-Associative Memory](https://mlsanity.com/paper/2210.08013/) (2022)
- [The Mode of Computing](https://mlsanity.com/paper/1903.10559/) (2019)
- [Entropic Associative Memory for Manuscript Symbols](https://mlsanity.com/paper/2202.08413/) (2022)
- [Classification and Generation of real-world data with an Associative Memory Model](https://mlsanity.com/paper/2207.04827/) (2022)

## Abstract (arXiv)

The entropic associative memory (EAM) is a computational model of natural memory incorporating some of its putative properties of being associative, distributed, declarative, abstractive and constructive. Previous experiments satisfactorily tested the model on structured, homogeneous and conventional data: images of manuscripts digits and letters, images of clothing, and phone representations. In this work we show that EAM appropriately stores, recognizes and retrieves complex and unconventional images of animals and vehicles. Additionally, the memory system generates meaningful retrieval association chains for such complex images. The retrieved objects can be seen as proper memories, associated recollections or products of imagination.