Michaela Klauck

Orcid: 0000-0002-6353-227X

According to our database1, Michaela Klauck authored at least 22 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Towards Safe Autonomous Driving: Model Checking a Behavior Planner during Development.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

2023
DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version.
ACM Trans. Model. Comput. Simul., October, 2023

Analyzing neural network behavior through deep statistical model checking.
Int. J. Softw. Tools Technol. Transf., June, 2023

2022
On the connection of probabilistic model checking, planning, and learning for system verification.
PhD thesis, 2022

Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack.
Proceedings of the 26th International Conference Information Visualisation, 2022

The Modest State of Learning, Sampling, and Verifying Strategies.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

MoGym: Using Formal Models for Training and Verifying Decision-making Agents.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022

2021
Momba: JANI Meets Python.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2021

A Modest Approach to Dynamic Heuristic Search in Probabilistic Model Checking.
Proceedings of the Quantitative Evaluation of Systems - 18th International Conference, 2021

DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning.
Proceedings of the Quantitative Evaluation of Systems - 18th International Conference, 2021

2020
Bridging the Gap Between Probabilistic Model Checking and Probabilistic Planning: Survey, Compilations, and Empirical Comparison.
J. Artif. Intell. Res., 2020

Lab Conditions for Research on Explainable Automated Decisions.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

TraceVis: Towards Visualization for Deep Statistical Model Checking.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends, 2020

Towards Dynamic Dependable Systems Through Evidence-Based Continuous Certification.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles, 2020

On Correctness, Precision, and Performance in Quantitative Verification - QComp 2020 Competition Report.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends, 2020

Components in Probabilistic Systems: Suitable by Construction.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles, 2020

Deep Statistical Model Checking.
Proceedings of the Formal Techniques for Distributed Objects, Components, and Systems, 2020

Let's Learn Their Language? A Case for Planning with Automata-Network Languages from Model Checking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Quantitative Verification Benchmark Set.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2019

The 2019 Comparison of Tools for the Analysis of Quantitative Formal Models - (QComp 2019 Competition Report).
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2019

2018
Compiling Probabilistic Model Checking into Probabilistic Planning.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017
Noticeable or Distractive?: A Design Space for Gaze-Contingent User Interface Notifications.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017


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