Elena Umili, Gabriel Paludo Licks, and Fabio Patrizi
Source code for paper submitted to the PMAI@ECAI2024 workshop.
You can find a Dockerfile in this repository. You can either run the code on a Docker container or use the Dockerfile as a reference for the dependencies (mainly CUDA/torch and MONA) that need to be installed. You can also find an environment.yml file referring to a Conda virtual environment containing the Python dependencies.
The file run_all.py is the script that runs all experiments shown in the paper. Once the script finishes executing, you can plot the results using the plot.py file.