PN 6

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

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401 to 410 of 877 Results

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 Code for: Meta-Uncertainty in Bayesian Model Comparison May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/DARUS-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF] This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper). The experiments from the accompanying paper (see below) are implemente...
activate.R May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison R Syntax - 26.5 KB - MD5: 406e38f92fbf258e7b0dff76e476c307
apply_color_map.Rd May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison Unknown - 508 B - MD5: efd4078885864b7ee481d7a750a7fc92
bayesian_linear_regression.R May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison R Syntax - 2.0 KB - MD5: f118a5dd0ac9405176e3e031b22cfdba

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 Code for: Meta-Uncertainty in Bayesian Model Comparison

May 25, 2023 - Data and Code for: Meta-Uncertainty in Bayesian Model Comparison

Schmitt, Marvin, 2023, "Replication Code for: Meta-Uncertainty in Bayesian Model Comparison", https://doi.org/10.18419/DARUS-3514, DaRUS, V1, UNF:6:zUDr3KGdcaDCy+jFtcz8lA== [fileUNF]

This dataverse contains the code for the paper Meta-Uncertainty in Bayesian Model Comparison: https://doi.org/10.48550/arXiv.2210.07278 Note that the R code is structured as a package, thus requiring a local installation with subsequent loading via library(MetaUncertaintyPaper). The experiments from the accompanying paper (see below) are implemente...

activate.R

May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

R Syntax - 26.5 KB -

apply_color_map.Rd

May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

Unknown - 508 B -

bayesian_linear_regression.R

May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison

R Syntax - 2.0 KB -

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