- benchmarks: contains all code to run the benchmark experiments and create Critical Difference plots
- nevergrad experiments can be run by selecting the functions in example.py and executing: "python -m nevergrad.benchmark additional_experiment --imports=example.py"
- "Parallel Plots.ipynb" creates Figure 5 from the paper
- "Model Training.ipynb" contains the code to "fit" the neural networks to the optimized point clouds
- "Contour Plotting.ipynb" creates Figure 8 from the paper
Reiyan/ela_nn_function_generation
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