Eric MSP Veith

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Department für Informatik  (» Postanschrift)

Eric MSP Veith

Nicht abgeschlossene Abschlussarbeitsthemen

Bachelor oder Master

Publikationen

Logemann T and Veith EMSP (2024), "Analyzing Exact Output Regions of Reinforcement Learning Policy Neural Networks for High-Dimensional Input-Output Spaces", In EXPLAINS 2024: 1st International Conference on Explainable AI for Neural and Symbolic Methods. Porto, Portugal, October, 2024. Vol. 1(1), pp. 1-6. INSTICC.
Veith EMSP, Logemann T, Wellßow A and Balduin S (2024), "Play With Me: Towards Explaining the Benefits of Autocurriculum Training of Learning Agents", In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). Dubrovnic, Croatia , pp. 1-5. IEEE.
Veith EM, Logemann T, Berezin A, Wellßow A and Balduin S (2024), "Imitation Game: A Model-Based and Imitation Learning Deep Reinforcement Learning Hybrid", In 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES). , pp. 1-6.
Veith EMSP, Balduin S, Wellßow A and Logemann T (2024), "On Sound Experiment Execution with Learning Agents in Cyber-Physical Energy Systems", In Proceedings of the 14th International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies., March, 2024. , pp. 14-19. IARIA XPS Press.
Wellßow A, Logemann T and Veith EMSP (2024), "Trajectory Generation Model: Building a Simulation Link Between Expert Knowledge and Offline Learning", In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH. , pp. 91-102. SciTePress.
Wellßow A, Kohlisch-Posega J, Veith EMSP and Uslar M (2024), "Threat Modeling for AI Analysis: Towards the Usage of Misuse Case Templates and UML Diagrams for AI Experiment Description and Trajectory Generation", In Proceedings of the 2024 13th International Conference on Informatics, Environment, Energy and Applications, IEEA 2024, Tokyo, Japan, February 21-23, 2024. , pp. 7-16. ACM.
Wellßow A, Smith P, Widl E, Veith E, Kohlisch-Posega J, Soro F, Puhan M, Theil A, Uslar M and Zoll R (2024), "Machine-Readable Expert Knowledge Representation Concept", February, 2024. Zenodo.
Balduin S, Veith EMSP and Lehnhoff S (2023), "MIDAS: An Open-Source Framework for Simulation-Based Analysis of Energy Systems", In Simulation and Modeling Methodologies, Technologies and Applications. Cham , pp. 177-194. Springer International Publishing.
Logemann T and Veith E (2023), "NN2EQCDT: Equivalent Transformation of Feed-Forward Neural Networks as DRL Policies into Compressed Decision Trees", In The Fifteenth International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2023)., 06, 2023.
Veith E, Balduin S, Wenninghoff N, Wolgast T, Baumann M, Winkler D, Hammer L, Salman A, Schulz M, Raeiszadeh A, Logemann T and Wellßow A (2023), "palaestrAI: A Training Ground for Autonomous Agents", In Proceedings of the 37th annual European Simulation and Modelling Conference., 10, 2023.
Veith E, Wellßow A and Uslar M (2023), "Learning new attack vectors from misuse cases with deep reinforcement learning", Frontiers in Energy Research.
Wolgast T, Wenninghoff N, Balduin S, Veith E, Fraune B, Woltjen T and Nieße A (2023), "ANALYSE--Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents", SoftwareX., 04, 2023.
Alexander Berezin Stephan Balduin TOEVSP and Lehnhoff S (2022), "Application of Recurrent Graph Convolutional Networks to the Neural State Estimation Problem", International Journal of Electrical and Electronic Engineering & Telecommunications.
Balduin S, Veith EMSP, Berezin A, Lehnhoff S, Oberließen T, Kittl C, Hiry J, Rehtanz C, Torres-Villareal G, Leksawat S, Kubis A and Frankenbach M-A (2021), "Towards a Universally Applicable Neural StateEstimation through Transfer Learning", In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). , pp. 1-5.
Gerster J, Sarstedt M, Veith EM, Lehnhoff S and Hofmann L (2021), "Comparison of Random Sampling and Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections", In 2021 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe. Espoo, Finnland, 10, 2021. IEEE.
Gerster J, Sarstedt M, Veith EMSP, Lehnhoff S and Hofmann L (2021), "Pointing out the Convolution Problem of Stochastic Aggregation Methods for the Determination of Flexibility Potentials at Vertical System Interconnections", In ENERGY 2021, The Eleventh International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. , pp. 37-37. IARIA XPS Press.
Wolgast T, Veith EM and Nieße A (2021), "Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: Poster", In Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA , pp. 292-293. Association for Computing Machinery.
Wolgast T, Veith EM and Nieße A (2021), "Towards Reinforcement Learning for Vulnerability Analysis in Power-Economic Systems", In DACH+ Energy Informatics 2021: The 10th DACH+ Conference on Energy Informatics. Freiburg, Germany, 9, 2021.
Frost E, Veith EM and Fischer L (2020), "Robust and Deterministic Scheduling of Power Grid Actors", In 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). Vol. 1, pp. 100-105.
Veith EM, Balduin S, Wenninghoff N, Tröschel M, Fischer L, Nieße A, Wolgast T, Sethmann R, Fraune B and Woltjen T (2020), "Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence", In ENERGY 2020, The Tenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. Lisboa, Portugal (9), pp. 1-12. IARIA XPS Press.
Fischer L, Memmen JM, Veith EM and Tröschel M (2019), "Adversarial Resilience Learning---Towards systemic vulnerability analysis for large and complex systems", In ENERGY 2019, The Ninth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. Athens, Greece (9), pp. 24-32. IARIA XPS Press.
Veith E, Fischer L, Tröschel M and Nieße A (2019), "Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence", In Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control., 12, 2019.
Kintzler F, Gawron-Deutsch T, Cejka S, Schulte J, Uslar M, Veith EM, Piatkowska E, Smith P, Kupzog F, Sandberg H, Chong MS, Umsonst D and Mittelsdorf M (2018), "Large Scale Rollout of Smart Grid Services", In 2018 Global Internet of Things Summit (GIoTS). , pp. 1-7.
Veith E (2017), "Universal smart grid agent for distributed power generation management" Logos Verlag Berlin.
Ruppert M, Veith EM and Steinbach B (2014), "An Evolutionary Training Algorithm for Artificial Neural Networks with Dynamic Offspring Spread and Implicit Gradient Information", In The Sixth International Conference on Emerging Network Intelligence (EMERGING 2014). International Academy, Research, and Industry Association.

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