Stefanie Mohr

Orcid: 0000-0002-8630-3218

According to our database1, Stefanie Mohr authored at least 19 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Safer AI via Exploiting the Structure of Learned Systems for Monitoring, Verification, Abstraction, Representations, and Explainability.
PhD thesis, 2025

1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization.
Proceedings of the Verification, Model Checking, and Abstract Interpretation, 2025

Risk-aware Markov Decision Processes Using Cumulative Prospect Theory.
Proceedings of the 40th Annual ACM/IEEE Symposium on Logic in Computer Science, 2025

2024
Stochastic games with lexicographic objectives.
Formal Methods Syst. Des., October, 2024

Artifact for Paper: Monitizer - Automating Design and Evaluation of Neural Network Monitors.
Dataset, May, 2024

Artifact for Paper: Monitizer - Automating Design and Evaluation of Neural Network Monitors.
Dataset, April, 2024

Artifact for Paper: Monitizer - Automating Design and Evaluation of Neural Network Monitors.
Dataset, April, 2024

Artifact for Paper: Monitizer - Automating Design and Evaluation of Neural Network Monitors.
Dataset, April, 2024

Artifact for Paper: Monitizer - Automating Design and Evaluation of Neural Network Monitors.
Dataset, April, 2024

Learning Explainable and Better Performing Representations of POMDP Strategies.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

Monitizer: Automating Design and Evaluation of Neural Network Monitors.
Proceedings of the Computer Aided Verification - 36th International Conference, 2024

2023
Artifact for Paper: Learning Explainable and Better Performing Representations of POMDP Strategies.
Dataset, December, 2023

Artifact for Paper: Learning Explainable and Better Performing Representations of POMDP Strategies.
Dataset, December, 2023



Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks.
Proceedings of the Automated Technology for Verification and Analysis, 2023

2021
Gaussian-Based Runtime Detection of Out-of-distribution Inputs for Neural Networks.
Proceedings of the Runtime Verification - 21st International Conference, 2021

Assessment of Neural Networks for Stream-Water-Temperature Prediction.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification.
Proceedings of the Automated Technology for Verification and Analysis, 2020


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