A bundle of 12 frozen Graph Transformer Network checkpoints, four per training seed 11, 22, 33, trained on SEAL 5-component D9 data: - gamma: physical voltage-conversion ratio regressor. - efficiency: physical efficiency regressor; together with gamma, this is the frozen Loss-Net. - mse: MSE-only duty Task-Net. - seal: SEAL-Static duty Task-Net, trained with frozen physical-model Utility guidance. The original checkpoint filenames and selected model hashes come from the completed E1 model locks. No retraining, averaging, or Test/MCTS reselection was performed for publication. D5 and GBI are duty-selection procedures using the same physical pair; they do not have separate trained…
Independent publisher
Jeongsoo Lee
DanielJeongsooLee
Models in Library1
Datasets in Library0
Models on Hugging Face29
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