SIMPL

Warning

🚧 This is currently alpha software, undergoing active development. Some API changes are to be expected as we are work on the first stable release.

Installation and Usage

This repository contains code for the ICLR 2025 paper "SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour" (ICLR). Specifically:

• Source code in simpl/ for the SIMPL algorithm.
• A working example in demos/simpl_demo.ipynb.

To run the example you will need to install simpl by

1. Clone: git clone https://github.com/TomGeorge1234/SIMPL.git and navigate to the root: cd SIMPL
2. (Recommended) Create a virtual environment (e.g. python -m venv simpl_env and source simpl_env/bin/activate).
3. Install: pip install .[demo]. This will install the simpl package and its dependencies.
4. Run the demo: jupyter notebook demos/simpl_demo.ipynb !

Cite

If you use SIMPL in yoor work, please cite it as:

Tom George, Pierre Glaser, Kim Stachenfeld, Caswell Barry, & Claudia Clopath (2025). SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour. In The Thirteenth International Conference on Learning Representations.

@inproceedings{
george2025simpl,
title={{SIMPL}: Scalable and hassle-free optimisation of neural representations from behaviour},
author={Tom George and Pierre Glaser and Kim Stachenfeld and Caswell Barry and Claudia Clopath},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://openreview.net/forum?id=9kFaNwX6rv}
}