Stuttgart Center for Simulation Science (SC SimTech)

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Publication Year: 2021

21 to 30 of 30 Results

NMTVis - Trained Models for our Visual Analytics System May 26, 2021 - PN 6-4 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/darus-1850, DaRUS, V1 Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture.
NMTVis - Neural Machine Translation Visualization System May 26, 2021 - PN 6-4 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-1849, DaRUS, V1 NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...
A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot May 21, 2021 - PN 4-4 Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/darus-1845, DaRUS, V1 The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any da...
PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart) May 10, 2021PN 4 Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Mar 23, 2021 - PN 6-3 Holzmüller, David, 2021, "Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression", https://doi.org/10.18419/darus-1771, DaRUS, V1 This dataset contains code used to generate the figures in the paper On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021. The code is also provided on GitHub. Here, we additionally pro...
PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart) Mar 16, 2021PN 6 SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart) Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.
Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart) Mar 12, 2021Projects without PN Affiliation This dataverse contains data associated with the projects (as sub-dataverses) of LS3.
Projects without PN Affiliation(Universität Stuttgart) Mar 1, 2021 This dataverse hosts data(-verses) without a project network affiliation.
PN 3-1(Universität Stuttgart) Feb 15, 2021PN 3 Processing Uncertain Microstructural Data: The projects objective is to relate image-based data of stochastic microstructures to their quantities of interest. The data consists mainly of microstructure images, corresponding material properties and features deployed in machine lea...

NMTVis - Trained Models for our Visual Analytics System

May 26, 2021 - PN 6-4

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/darus-1850, DaRUS, V1

Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture.

NMTVis - Neural Machine Translation Visualization System

May 26, 2021 - PN 6-4

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-1849, DaRUS, V1

NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...

A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot

May 21, 2021 - PN 4-4

Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/darus-1845, DaRUS, V1

The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any da...

PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart)

May 10, 2021PN 4

Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.

Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Mar 23, 2021 - PN 6-3

Holzmüller, David, 2021, "Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression", https://doi.org/10.18419/darus-1771, DaRUS, V1

This dataset contains code used to generate the figures in the paper On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021. The code is also provided on GitHub. Here, we additionally pro...

PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart)

Mar 16, 2021PN 6

SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"

Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart)

Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.

Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart)

Mar 12, 2021Projects without PN Affiliation

This dataverse contains data associated with the projects (as sub-dataverses) of LS3.

Projects without PN Affiliation(Universität Stuttgart)

Mar 1, 2021

This dataverse hosts data(-verses) without a project network affiliation.

PN 3-1(Universität Stuttgart)

Feb 15, 2021PN 3

Processing Uncertain Microstructural Data: The projects objective is to relate image-based data of stochastic microstructures to their quantities of interest. The data consists mainly of microstructure images, corresponding material properties and features deployed in machine lea...

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