Reproducing the paper

These notebooks reproduce the benchmark results from Runje & Shankaranarayana (2023) (Constrained Monotonic Neural Networks, ICML 2023) using the mononet package. The original datasets are archived on Zenodo at https://zenodo.org/records/7968969; fetch them with:

python -m benchmarks.datasets.download

Each dataset notebook runs all four flavors (torch/switch, torch/absolute, jax/switch, keras/switch) for a small epoch and seed budget so the scaffold executes quickly. The maintainer re-runs with full budgets via tools/execute-benchmarks.sh and commits the outputs before each release. The tables notebook aggregates the committed benchmarks/results/paper-reproduction.json into the headline and cross-backend tables.

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