Items where Subject is "Institute for AI Safety and Security"

Institutes and Facilities (127801)
- Institute for AI Safety and Security (14)

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Number of items at this level: 14.

A

Anilkumar Girija, Akshay and Stefani, Thomas and Mut, Ryan and Krüger, Thomas and Durak, Umut (2022) USING OPERATIONAL DESIGN DOMAIN FOR SAFE AI IN URBAN AIR MOBILITY. ASAM International Conference 2022, 29.Nov. - 30.Nov.2022, Dresden, Germany. Volltext nicht frei.

D

Duncan, Dennis (2023) Interpreting Reservoir Computing with PCA and Exploring Physics-Informed RC. Master's, Ludwig-Maximilians-Universität.

F

Flynn, Andrew and Heilmann, Oliver and Köglmayr, Daniel and Tsachouridis, Vassilios and Räth, Christoph and Amann, Andreas (2022) Exploring the limits of multifunctionality across different reservoir computers. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE. 2022 International Joint Conference on Neural Networks (IJCNN), 18.-23. Juli 2022, Padua, Italien. doi: 10.1109/IJCNN55064.2022.9892203. Volltext nicht frei.

K

Karl, Michael (2022) Enabler Data Standards. Gaia-X Mobility Data Space Event, 19.05.2022, Virtuell. Volltext nicht online.

Klitzke, Lars and Koch, Carsten and Haja, Andreas and Köster, Frank (2021) Vehicle Data Management System for Scenario-Based Validation of Automated Driving Functions. Communications in Computer and Information Science, 1217, pp. 342-362. Springer. doi: 10.1007/978-3-030-68028-2. ISSN 1865-0929. Volltext nicht frei.

Köglmayr, Daniel (2022) Reservoir Computing Based Cryptography and Exploration of the Limits of Multifunctionality in NG-RC. Master's, Ludwig-Maximilians-Universität.

L

Le, Duc Hai and Ihme, Klas and Köster, Frank (2023) Involving users in Automotive HMI design: Design evaluation of an interactive simulation based on participatory design. Open Access Science in Human Factors Engineering and Human Centered Computing. IHSI 2023 International Conference, 22.-24. Feb. 2023, Venedig, Italien. doi: 10.54941/ahfe1002814. ISBN 978-1-958651-45-2. ISSN 2771-0718.

M

Ma, Haochun and Haluszczynski, Alexander and Prosperino, Davide and Räth, Christoph (2022) Identifying causality drivers and deriving governing equations of nonlinear complex systems. Chaos, 32, p. 103128. American Institute of Physics (AIP). doi: 10.1063/5.0102250. ISSN 1054-1500. Volltext nicht frei.

Ma, Haochun and Haluszczynski, Alexander and Prosperino, Davide and Räth, Christoph (2023) Causalities and their Drivers in Synthetic and Financial Data. Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives, 15.-17. März b2023, Potdsam, Deutschland. (Unpublished)

N

Nichting, Matthias and Lobig, Thomas and Köster, Frank (2021) Case Study on Gap Selection for Automated Vehicles Based on Deep Q-Learning. In: 2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST). 2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), 29.-30. Jun. 2021, Yogyakarta, Indonesia. doi: 10.1109/ICAICST53116.2021.9497818. Volltext nicht online.

P

Prosperino, Davide (2022) Estimating Parameters of Governing Equations of Non-Linear Systems from Data Using Synchronisation and Machine Learning. Master's, Ludwig-Maximilians-Universität.

R

Räth, Christoph and Baur, Sebastian (2022) Predicting high-dimensional heterogeneous time series employing generalized local states. Dynamics Days Europe 2022, 22.-26. August 2022, Aberdeen, Schottland. Volltext nicht online.

S

Shen, Yanzheng (2022) AI-based Wave Prediction in Complex Plasmas. Master's, Ludwig-Maximilians-Universität.

Sprockhoff, Jasper and Lukic, Bojan and Janson, Vincent Josef and Gupta, Siddhartha and Ahlbrecht, Alexander and Durak, Umut and Krüger, Thomas (2023) Model-Based Systems Engineering for AI-Based Systems. AIAA SciTech 2023 Forum, 23.-27. Jan. 2023, National Harbor, MD, USA. doi: 10.2514/6.2023-2587. Volltext nicht online.

This list was generated on Fri May 26 21:11:31 2023 CEST.