tachella / ssbm

Learning to reconstruct signals from binary measurements alone

Self-Supervised learning from Binary Measurements (SSBM)

Code of the paper "Learning to reconstruct signals from binary measurements alone" by Julian Tachella and Laurent Jacques.

We use the deepinv library for most of the code.

Getting Started

1. Clone the repository
2. Install the latest version of deepinv

pip install git+https://github.com/deepinv/deepinv.git#egg=deepinv

3. Run the main.py file to train a self-supervised model. You can easily modify the dataset and other parameters in the main.py file.

Citation

@article{tachella2023ssbm,
  title={Learning to reconstruct signals from binary measurements alone},
  author={Tachella, Julian and Jacques, Laurent},
  journal={arXiv preprint arXiv:2303.08691},
  year={2023}
}