Stuttgart Center for Simulation Science (SC SimTech)

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1 to 10 of 25,651 Results

All Steps: Pretrained Models Sep 14, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling Pelzer, Julia; Kotchourko, Serge, 2026, "All Steps: Pretrained Models", https://doi.org/10.18419/DARUS-6436, DaRUS, V1 Pretrained models for "Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling" This dataset contains the pretrained baseline models, namely CNO, ConvNeXt U-Net, DPOT, LGCNN, scOT, TFNO, and U-Net. A model is trained under a fixed budget on all three training steps in the benchmark and included if training is technically possible under...
examples_allMo_allD_norm2.pdf Sep 14, 2026 - All Steps: Pretrained Models Adobe PDF - 167.5 KB - MD5: 0223746cb1155548f3df14fdb514a9e6
model_comparison.ipynb Sep 14, 2026 - All Steps: Pretrained Models Jupyter Notebook - 396.7 KB - MD5: 1ca8f51a2f5e26531c287c8d15c99114
model_ranking_transpose.pdf Sep 14, 2026 - All Steps: Pretrained Models Adobe PDF - 27.8 KB - MD5: 282a7b348d753632d22a57300d9abddc
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 289.7 MB - MD5: 672273958759ecedea1aec5794557466
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 237.8 MB - MD5: 20e42f96fa495e7e2b059eb1a3d7e24c
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 477.6 MB - MD5: 50e9055e9db65546decd04dfeef68ecd
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 262.4 MB - MD5: f555c9a269c31e3d0e9b915c7562b3fd
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 52.7 MB - MD5: 77c8abe2215bbb15bc171a6b497fe02d
predictions_test.h5 Sep 14, 2026 - All Steps: Pretrained Models Hierarchical Data Format - 147.6 MB - MD5: 65e3986591da67b6f1ee6dd28eab0f74

All Steps: Pretrained Models

Sep 14, 2026 - Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling

Pelzer, Julia; Kotchourko, Serge, 2026, "All Steps: Pretrained Models", https://doi.org/10.18419/DARUS-6436, DaRUS, V1

Pretrained models for "Stepwise Benchmarking: Data-Scarce Groundwater Heat Pumps' Modeling" This dataset contains the pretrained baseline models, namely CNO, ConvNeXt U-Net, DPOT, LGCNN, scOT, TFNO, and U-Net. A model is trained under a fixed budget on all three training steps in the benchmark and included if training is technically possible under...

examples_allMo_allD_norm2.pdf