johannbrehmer / paper-inferno

Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.

Home Page:https://arxiv.org/abs/1806.04743

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INFERNO: Inference-Aware Neural Optimisation

https://arxiv.org/abs/1806.04743

  • Pablo de Castro
  • Tommaso Dorigo

Open In Colab

Setting Up the Environment

If you are using conda to manage packages you can simply install set up all the required python packages by running the following command in the project directory:

conda env create -f environment.yml

if you have already set it up, you can activate the environment:

source activate inferno-env

alternatively you can manually install the dependencies listed in the environment.yml file using pip.

IMPORTANT: if you are manually installing the dependencies, remember that only Python 3.6+ is supported, because f-strings and ordered dicts make code much more readable.

Citation

Please cite using the following BibTex entry:

@ARTICLE{de2018inferno,
  title={INFERNO: Inference-Aware Neural Optimisation},
  author={de Castro, Pablo and Dorigo, Tommaso},
  journal={arXiv preprint arXiv:1806.04743},
  year={2018}
}

About

Code and manuscript for the paper "INFERNO: Inference-Aware Neural Optimisation". Automated mirror from CERN GitLab.

https://arxiv.org/abs/1806.04743

License:BSD 3-Clause "New" or "Revised" License


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