Stuttgart Center for Simulation Science (SC SimTech)

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671 to 680 of 25,724 Results

claire-thesis-maltebrunn.tar.gz Jul 30, 2026 - Replication Data for: Optimized Algorithms for Image Registration on Heterogeneous Hardware Gzip Archive - 1.7 MB - MD5: d2bd0687ccec67868cfce5c5b7310d54 CLAIRE Commit 756dfa2
experiments.tar.gz Jul 30, 2026 - Replication Data for: Optimized Algorithms for Image Registration on Heterogeneous Hardware Gzip Archive - 33.0 MB - MD5: a2ca5b1b562aaf0fa90b81eaade923ef Experimental Data
demoa-base: a biophysics simulator for muscle-driven motion Jul 29, 2026 - demoa Schmitt, Syn; Chacon, Pablo; Eppler, Jochen; Günther, Michael; Hammer, Maria; Lerge, Patrick; Riede, Julia; Walter, Johannes; Weinhold, Emelie; Wochner, Isabell, 2026, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/DARUS-2550, DaRUS, V8 For more information, such as installation, requirements and user guide, please see the demoa manual. The development of this package was supported by “Deutsche Forschungsgemeinschaft” (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016.
demoa-base-3.3.tgz Jul 29, 2026 - demoa-base: a biophysics simulator for muscle-driven motion Gzip Archive - 45.5 MB - MD5: 3fd19ddfeb2c714e701e4236e01a349c Code source including descriptions for installation, dependencies and examples
demoa-manual-v33.pdf Jul 29, 2026 - demoa-base: a biophysics simulator for muscle-driven motion Adobe PDF - 871.3 KB - MD5: 5e98e216345e32ad5d8877e68f8800fb Manual file extracted from the code source
Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model Jul 22, 2026 - Studying Dynamical Systems for Intelligible Modeling and Unconventional Computing Weinmann, Max; Klopotek, Miriam, 2026, "Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model", https://doi.org/10.18419/DARUS-6128, DaRUS, V1 This dataset contains all relevant data to reproduce the results of the paper titled "Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model" and supplementary figures. "code.tar.xz" contains the code to generate the datasets and model checkpoints used in the analysis. Information on the code incl...
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.

claire-thesis-maltebrunn.tar.gz

Jul 30, 2026 - Replication Data for: Optimized Algorithms for Image Registration on Heterogeneous Hardware

Gzip Archive - 1.7 MB -

CLAIRE Commit 756dfa2

experiments.tar.gz

Jul 30, 2026 - Replication Data for: Optimized Algorithms for Image Registration on Heterogeneous Hardware

Gzip Archive - 33.0 MB -

Experimental Data

demoa-base: a biophysics simulator for muscle-driven motion

Jul 29, 2026 - demoa

Schmitt, Syn; Chacon, Pablo; Eppler, Jochen; Günther, Michael; Hammer, Maria; Lerge, Patrick; Riede, Julia; Walter, Johannes; Weinhold, Emelie; Wochner, Isabell, 2026, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/DARUS-2550, DaRUS, V8

For more information, such as installation, requirements and user guide, please see the demoa manual. The development of this package was supported by “Deutsche Forschungsgemeinschaft” (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016.

demoa-base-3.3.tgz

Jul 29, 2026 - demoa-base: a biophysics simulator for muscle-driven motion

Gzip Archive - 45.5 MB -

Code source including descriptions for installation, dependencies and examples

demoa-manual-v33.pdf

Jul 29, 2026 - demoa-base: a biophysics simulator for muscle-driven motion

Adobe PDF - 871.3 KB -

Manual file extracted from the code source

Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

Jul 22, 2026 - Studying Dynamical Systems for Intelligible Modeling and Unconventional Computing

Weinmann, Max; Klopotek, Miriam, 2026, "Replication Data for: Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model", https://doi.org/10.18419/DARUS-6128, DaRUS, V1

This dataset contains all relevant data to reproduce the results of the paper titled "Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model" and supplementary figures. "code.tar.xz" contains the code to generate the datasets and model checkpoints used in the analysis. Information on the code incl...

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.

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