Trained weights of the Anulum entry to the Fusion Equilibrium Challenge (NeurIPS 2026, Codabench competition 17739): the DIII-D flux-map networks, the q95 and βN networks, the X-point networks, the gradient-boosted tree heads and the flux basis. The code, the method, the study and the experiment records are in the GitHub repository anulum/fusion-equilibrium-challenge. These files are fetched by fetchweights.py in that repository at the revision pinned in its WEIGHTS.json, and every file is checked against WEIGHTS.sha256. They are not usable on their own; run them through the repository's infer.py. The weights were fitted on the organisers' labelled DIII-D training release (CC BY 4.0). No…
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Miroslav Sotek
anulum
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