EXC 2075 Project Networks

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11 to 20 of 134 Results

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1 This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.
PN 6-4(Universität Stuttgart) Oct 27, 2020PN 6 SimTech Project PN 6-4 "Visual Analytics for Deep Learning"
Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games Nov 2, 2020 - PN 6-4 Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/darus-1130, DaRUS, V1 Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking...
PN 7-6(Universität Stuttgart) Nov 19, 2020PN 7
Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall Dec 2, 2020 - PN 7-6 Kneifl, Jonas; Fehr, Jörg, 2020, "Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall", https://doi.org/10.18419/darus-1150, DaRUS, V1 Racing Kart Frame Model This data set contains a finite element model for the commercial simulation software LS-DYNA, obtained simulation results and videos of comparing them to results obtained by surrogate models. Content Model * input files for the FE simulation software LS-DY...
2d microstructure data Feb 15, 2021 - Data Analytics in Engineering Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/darus-1151, DaRUS, V2 The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into...
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...
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"
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 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.

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

PN 6-4(Universität Stuttgart)

Oct 27, 2020PN 6

SimTech Project PN 6-4 "Visual Analytics for Deep Learning"

Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games

Nov 2, 2020 - PN 6-4

Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/darus-1130, DaRUS, V1

Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking...

PN 7-6(Universität Stuttgart)

Nov 19, 2020PN 7

Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall

Dec 2, 2020 - PN 7-6

Kneifl, Jonas; Fehr, Jörg, 2020, "Deformation of a Structural Frame of a Racing Kart Colliding against a Rigid Wall", https://doi.org/10.18419/darus-1150, DaRUS, V1

Racing Kart Frame Model This data set contains a finite element model for the commercial simulation software LS-DYNA, obtained simulation results and videos of comparing them to results obtained by surrogate models. Content Model * input files for the FE simulation software LS-DY...

2d microstructure data

Feb 15, 2021 - Data Analytics in Engineering

Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/darus-1151, DaRUS, V2

The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into...

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...

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"

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 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.

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