Stuttgart Center for Simulation Science (SC SimTech)

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21,521 to 21,530 of 25,658 Results

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" Jul 25, 2023 - PN 6-4 Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/DARUS-3456, DaRUS, V1 Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language models: - Text classification (https://github.com/MunzT/hiddenStatesV...
classification.mp4 Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" MPEG-4 Video - 103.2 MB - MD5: 528bdd106b37c293308d8fc175ae0dd7 Video demonstrating our classification system.
Classification.zip Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" ZIP Archive - 16.8 MB - MD5: 01987c2f7fe58478c03b52bdc3527c66 Screenshots of our classification system.
nmt.mp4 Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" MPEG-4 Video - 94.4 MB - MD5: 870a6bea2d5039fcdf5f88694e277244 Video demonstrating our neural machine translation system.
NMT.zip Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models" ZIP Archive - 2.1 MB - MD5: 45e317e218545d8d33aaa99f0bb3ffef Screenshots of our neural machine translation system.
Visual Analysis System for Scene-Graph-Based Visual Question Answering Jul 25, 2023 - PN 6-4 Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3589, DaRUS, V1 Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
GraphVQA-Explorer_v1.0.zip Jul 25, 2023 - Visual Analysis System for Scene-Graph-Based Visual Question Answering ZIP Archive - 2.7 MB - MD5: b8a072d4e77d1306ec3e027a5537c2cc Source code of our visual analytics system
Replication Data for: A screening of results on the decay length in concentrated electrolytes Jul 19, 2023 - SFB 1333 A3 - Schlaich group, ICP Jäger, Henrik, 2023, "Replication Data for: A screening of results on the decay length in concentrated electrolytes", https://doi.org/10.18419/DARUS-3551, DaRUS, V1 This is the repository holding the inputs for atomistic Molecular Dynamics Simulations of nano-confined mica slabs as well as the outputs for cDFT calculations. Also, scripts for input generation and all analysis tools used are See the README file for more information.
0.5_charge_dens.dat Jul 19, 2023 - Replication Data for: A screening of results on the decay length in concentrated electrolytes Fixed Field Text Data - 37.9 KB - MD5: 3548157575c18d0de486ab0cf80527f2
0.5_mass_dens.dat Jul 19, 2023 - Replication Data for: A screening of results on the decay length in concentrated electrolytes Fixed Field Text Data - 37.9 KB - MD5: c9bfa758fb59cab97eae78b8328c9b74

Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

Jul 25, 2023 - PN 6-4

Munz-Körner, Tanja; Künzel, Sebastian; Weiskopf, Daniel, 2023, "Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"", https://doi.org/10.18419/DARUS-3456, DaRUS, V1

Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023. Collection of videos and images showing our interactive visualization systems for exploring language models: - Text classification (https://github.com/MunzT/hiddenStatesV...

classification.mp4

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

MPEG-4 Video - 103.2 MB -

Video demonstrating our classification system.

Classification.zip

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

ZIP Archive - 16.8 MB -

Screenshots of our classification system.

nmt.mp4

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

MPEG-4 Video - 94.4 MB -

Video demonstrating our neural machine translation system.

NMT.zip

Jul 25, 2023 - Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

ZIP Archive - 2.1 MB -

Screenshots of our neural machine translation system.

Visual Analysis System for Scene-Graph-Based Visual Question Answering

Jul 25, 2023 - PN 6-4

Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3589, DaRUS, V1

Source code of our visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Instructions on how to use our system can be found in the README.

GraphVQA-Explorer_v1.0.zip

Jul 25, 2023 - Visual Analysis System for Scene-Graph-Based Visual Question Answering

ZIP Archive - 2.7 MB -

Source code of our visual analytics system

Replication Data for: A screening of results on the decay length in concentrated electrolytes

Jul 19, 2023 - SFB 1333 A3 - Schlaich group, ICP

Jäger, Henrik, 2023, "Replication Data for: A screening of results on the decay length in concentrated electrolytes", https://doi.org/10.18419/DARUS-3551, DaRUS, V1

This is the repository holding the inputs for atomistic Molecular Dynamics Simulations of nano-confined mica slabs as well as the outputs for cDFT calculations. Also, scripts for input generation and all analysis tools used are See the README file for more information.

0.5_charge_dens.dat

Jul 19, 2023 - Replication Data for: A screening of results on the decay length in concentrated electrolytes

Fixed Field Text Data - 37.9 KB -

0.5_mass_dens.dat

Jul 19, 2023 - Replication Data for: A screening of results on the decay length in concentrated electrolytes

Fixed Field Text Data - 37.9 KB -

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