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ORCIDAlexander Diedrich
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2020 – today
- 2026
[j4]Alexander Diedrich
, Lukas Moddemann, Oliver Niggemann:
On validating propositional logic system descriptions for fault diagnosis. Eng. Appl. Artif. Intell. 165: 113379 (2026)- [i8]Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich, Oliver Niggemann:
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark. CoRR abs/2604.22869 (2026) - 2025
- [j3]Alexander Diedrich, Mattias Krysander, René Heesch, Oliver Niggemann:
Modeling Cyber-Physical Systems for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. 55(12): 9266-9279 (2025) - [c21]René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Oliver Niggemann:
Evaluating Large Language Models for Real-World Engineering Tasks. AI (1) 2025: 54-66 - [c20]René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann:
Learning Sound and Complete Preconditions in Complex Real-World Domains. CAIPI@ECAI 2025: 68-83 - [c19]Anna Sztyber-Betley, Elodie Chanthery, Louise Travé-Massuyès, Silke Merkelbach, Karol Kukla, Maxence Glotin, Alexander Diedrich, Oliver Niggemann:
Are Diagnostic Concepts Within the Reach of LLMs? DX 2025: 2:1-2:20 - [c18]Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann:
The HAI-CPPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces. ETFA 2025: 1-8 - [e1]Oliver Niggemann, Gautam Biswas, Andrea Micheli, René Heesch, Alexander Diedrich, Jonas Ehrhardt, Niklas Widulle:
Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025. CEUR Workshop Proceedings 4103, CEUR-WS.org 2025 [contents] - [d1]Jonas Ehrhardt, Lukas Moddemann, Alexander Diedrich, Oliver Niggemann:
HAI-CPPS: The Hamburg AI Benchmark for Cyber-Physical Production Sytems. IEEE DataPort, 2025
- [i7]René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Philipp Rosenthal, Oliver Niggemann:
Evaluating Large Language Models for Real-World Engineering Tasks. CoRR abs/2505.13484 (2025) - [i6]Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Lukas Moddemann, Daniel Vranjes, Oliver Niggemann:
Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information. CoRR abs/2506.10613 (2025) - 2024
- [j2]Alexander Diedrich, Stefan Windmann, Oliver Niggemann:
Solving industrial fault diagnosis problems with quantum computers. Quantum Mach. Intell. 6(2): 66 (2024) - [c17]Alexander Diedrich, René Heesch, Marco Bozzano, Björn Ludwig, Alessandro Cimatti, Oliver Niggemann:
Inferring Sensor Placement Using Critical Pairs and Satisfiability Modulo Theory. DX 2024: 9:1-9:19 - [c16]Silke Merkelbach, Alexander Diedrich, Anna Sztyber-Betley, Louise Travé-Massuyès, Elodie Chanthery, Oliver Niggemann, Roman Dumitrescu:
Using Multi-Modal LLMs to Create Models for Fault Diagnosis (Short Paper). DX 2024: 31:1-31:15 - [c15]René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann:
Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract). DX 2024: 32:1-32:3 - [c14]René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann:
A Lazy Approach to Neural Numerical Planning with Control Parameters. ECAI 2024: 4262-4270 - [c13]Jonas Ehrhardt, Phillip Johann Overlöper, Daniel Vranjes, Henrik S. Steude, Alexander Diedrich, Oliver Niggemann:
Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. ETFA 2024: 1-7 - [c12]Björn Ludwig, Alexander Diedrich, Oliver Niggemann:
Using Ontologies to Create Logical System Descriptions for Fault Diagnosis. ETFA 2024: 1-8 - [c11]Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Oliver Niggemann:
Extracting Knowledge using Machine Learning for Anomaly Detection and Root-Cause Diagnosis. ETFA 2024: 1-8 - [i5]Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle:
AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24. CoRR abs/2410.07245 (2024) - [i4]Alessandro Cimatti, Ingo Pill, Alexander Diedrich:
Fusing Causality, Reasoning, and Learning for Fault Management and Diagnosis (Dagstuhl Seminar 24031). Dagstuhl Reports 14(1): 25-48 (2024) - 2023
- [b1]Alexander Diedrich:
On Diagnosing Cyber-Physical Systems. Helmut Schmidt University, Hamburg, Germany, 2023 - [i3]Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Oliver Niggemann:
Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. CoRR abs/2311.03413 (2023) - [i2]Henrik S. Steude, Lukas Moddemann, Alexander Diedrich, Jonas Ehrhardt, Oliver Niggemann:
Diagnosis driven Anomaly Detection for CPS. CoRR abs/2311.15924 (2023) - 2022
- [j1]Alexander Diedrich, Oliver Niggemann:
On Residual-based Diagnosis of Physical Systems. Eng. Appl. Artif. Intell. 109: 104636 (2022) - [c10]Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann:
An AI benchmark for Diagnosis, Reconfiguration & Planning. ETFA 2022: 1-8 - [c9]Kaja Balzereit, Alexander Diedrich, Daniel Kubus, Jonas Ginster, Andreas Bunte:
Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. ICPS 2022: 1-6 - [c8]Alexander Diedrich, Patrick Deutschmann, Caroline Junker:
ServiceNavigator - A Bayesian Assistance System for Diagnosing Industrial Production Systems. ICPS 2022: 1-6 - 2021
- [c7]Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven:
A Generic DigitalTwin Model for Artificial Intelligence Applications. ICPS 2021: 55-62 - [c6]Kaja Balzereit, Alexander Diedrich, Jonas Ginster, Stefan Windmann, Oliver Niggemann:
An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. INDIN 2021: 1-6 - 2020
- [i1]Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven:
The DigitalTwin from an Artificial Intelligence Perspective. CoRR abs/2010.14376 (2020)
2010 – 2019
- 2019
- [c5]Alexander Diedrich, Alexander Maier, Oliver Niggemann:
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. AAAI 2019: 1452-1459 - 2018
- [c4]Alexander Diedrich, Oliver Niggemann:
Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. DX 2018 - 2016
- [c3]Andreas Bunte, Alexander Diedrich, Oliver Niggemann:
Integrating semantics for diagnosis of manufacturing systems. ETFA 2016: 1-8 - [c2]Alexander Diedrich, Björn Böttcher, Oliver Niggemann:
Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. ICAART (2) 2016: 280-287 - 2015
- [c1]Alexander Diedrich, Andreas Bunte, Alexander Maier, Oliver Niggemann:
Kognitive Architektur zum Konzeptlernen in technischen Systemen. ML4CPS 2015: 75-85
Coauthor Index
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last updated on 2026-07-04 01:56 CEST by the dblp team
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