Modern Methods in Associative Memory
13 days ago
- #Associative Memory
- #AI Architectures
- #Neural Networks
- Associative Memories, such as Hopfield Networks, are fully recurrent neural networks used for storing and retrieving information.
- Recent theoretical advancements have renewed interest in Associative Memories, linking them to modern AI architectures like Transformers and Diffusion Models.
- Lagrangian formulations of these networks enable the design of distributed models that learn useful representations and inspire new architectures.
- This tutorial offers an introduction to Associative Memories, focusing on modern methods, mathematical derivations, and practical coding examples.