aktivhoon/reservoir_global

Python implementation of Teaching Recurrent Neural Networks to Infer Global Temporal Structure from Local Examples (Nature Machine Intelligence, 2021)

This repository is a trial project aiming to implement the paper titled "Teaching Recurrent Neural Networks to Infer Global Temporal Structure from Local Examples."

Paper Link: Teaching Recurrent Neural Networks to Infer Global Temporal Structure from Local Examples

Introduction

This repository serves as a trial implementation of the research paper mentioned above. The goal is to reproduce some of the key concepts and experiments from the paper using Python.

Note

This is an unofficial and simplified implementation for educational purposes only. It may not fully replicate the paper's results but serves as a starting point for understanding the paper's concepts. Please refer to the original paper for complete details and official results.