PN 6

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

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11 to 20 of 41 Results

Hard Negative Captions(Universität Stuttgart) Jul 3, 2024PN 6-5 (II)
PN 6-5 (II)(Universität Stuttgart) Jul 3, 2024 SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"
UNITE Toolbox Jun 18, 2024 - PN 6A-4 Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1 UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i...
Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections" May 27, 2024 - PN 6-4 Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"", https://doi.org/10.18419/DARUS-3965, DaRUS, V1 Supplemental material for our paper "Exploring visual quality of multidimensional time series projections": A video demonstrating the interactive use of our exploration system. A table containing publications using dimensionality reduction on multidimensional time series to project them to 2D for visualization and exploration. A file containing ima...
Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections May 27, 2024 - PN 6-4 Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/DARUS-3553, DaRUS, V1 Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in the visual analysis system. Our project contains the following director...
Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data Mar 14, 2024 - PN 6A-4 Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/DARUS-4087, DaRUS, V1 Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├── data_evaluation\ │ ├── data\ │ ├── notebooks\ │ ├── results\...
PN 6A-3(Universität Stuttgart) Mar 8, 2024 Advanced learning strategies for potential energy surfaces applied to organic electrolytes
PN 6A-4(Universität Stuttgart) Mar 8, 2024 Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory
Model Parameters and Evaluation Data for our 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, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3597, DaRUS, V1 Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589).
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...

Hard Negative Captions(Universität Stuttgart)

Jul 3, 2024PN 6-5 (II)

PN 6-5 (II)(Universität Stuttgart)

Jul 3, 2024

SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"

UNITE Toolbox

Jun 18, 2024 - PN 6A-4

Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1

UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i...

Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"

May 27, 2024 - PN 6-4

Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"", https://doi.org/10.18419/DARUS-3965, DaRUS, V1

Supplemental material for our paper "Exploring visual quality of multidimensional time series projections": A video demonstrating the interactive use of our exploration system. A table containing publications using dimensionality reduction on multidimensional time series to project them to 2D for visualization and exploration. A file containing ima...

Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections

May 27, 2024 - PN 6-4

Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/DARUS-3553, DaRUS, V1

Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in the visual analysis system. Our project contains the following director...

Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data

Mar 14, 2024 - PN 6A-4

Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/DARUS-4087, DaRUS, V1

Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\ │ ├── plots\ ├── data_evaluation\ │ ├── data\ │ ├── notebooks\ │ ├── results\...

PN 6A-3(Universität Stuttgart)

Mar 8, 2024

Advanced learning strategies for potential energy surfaces applied to organic electrolytes

PN 6A-4(Universität Stuttgart)

Mar 8, 2024

Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory

Model Parameters and Evaluation Data for our 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, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3597, DaRUS, V1

Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589).

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...

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