PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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21 to 30 of 4,873 Results

checkpoints.tar.xz Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model XZ Archive - 515.9 GB - MD5: d24de0e5275b5f794548bab513cff69f CheckpointsDataModelParameters Contains the resulting model checkpoints, including the used training configuration parameters and some metrics computed based on the datasets. The model checkpoints where saved during training with different hyper-parameters.
code.tar.xz Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model XZ Archive - 133.4 KB - MD5: f8710213b5347894e074dcfd86085fe7 Code Contains the code to generate the datasets and model checkpoints used in the analysis. Information on the code including instructions on how to reproduce the data can be found in the file README.md.
figures.tar.xz Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model XZ Archive - 276.8 MB - MD5: c304a7b7f425cea51012c45b2294e2fe DataFigures Contains supplementary figures for the paper. These contain figures for all the different hyperparameters and datasets which are not shown in the paper.
ising_data.tar.xz Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model XZ Archive - 21.1 MB - MD5: 846676e1c3d289bc9db1542c22a54b76 Data Contains the resulting datasets. The datasets where generated with Markov-Chain-Monte-Carlo based on Glauber Dynamics of the Ising model and used for training and validation.
baseconceptualmodel.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 7.2 KB - MD5: 30a744a2f248efbcc47e69e826f15588
basedataset.cpython-312.pyc Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Unknown - 25.8 KB - MD5: fcc753afb598fce1340c830b946cfb37
basedataset.py Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Python Source Code - 24.4 KB - MD5: f730a1be93815a05e9a6f94319e43de9
basins_camels_gb_671.txt Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Plain Text - 4.6 KB - MD5: 82c36b0ae24da8e916c387fce1601716
basins_camels_us_10.txt Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Plain Text - 100 B - MD5: 22027a088be9f4ddbfecd14321bd71a2
basins_camels_us_531.txt Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling Plain Text - 4.7 KB - MD5: 57c4bf6a28b6cdffdca39d67d33e82a9

checkpoints.tar.xz

Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

XZ Archive - 515.9 GB -

CheckpointsDataModelParameters

Contains the resulting model checkpoints, including the used training configuration parameters and some metrics computed based on the datasets. The model checkpoints where saved during training with different hyper-parameters.

code.tar.xz

Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

XZ Archive - 133.4 KB -

Code

Contains the code to generate the datasets and model checkpoints used in the analysis. Information on the code including instructions on how to reproduce the data can be found in the file README.md.

figures.tar.xz

Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

XZ Archive - 276.8 MB -

DataFigures

Contains supplementary figures for the paper. These contain figures for all the different hyperparameters and datasets which are not shown in the paper.

ising_data.tar.xz

Jul 22, 2026 - Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

XZ Archive - 21.1 MB -

Data

Contains the resulting datasets. The datasets where generated with Markov-Chain-Monte-Carlo based on Glauber Dynamics of the Ising model and used for training and validation.

baseconceptualmodel.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 7.2 KB -

basedataset.cpython-312.pyc

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Unknown - 25.8 KB -

basedataset.py

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Python Source Code - 24.4 KB -

basins_camels_gb_671.txt

Jun 22, 2026 - Replication Data for: A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling

Plain Text - 4.6 KB -