Thom S. Badings

Orcid: 0000-0002-5235-1967

According to our database1, Thom S. Badings authored at least 28 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems.
IEEE Trans. Ind. Informatics, May, 2025

Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems.
Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates.
Proceedings of the Computer Aided Verification - 37th International Conference, 2025

2024
DynAbs: Abstraction-Based Controller Synthesis for Stochastic Linear Dynamical Systems.
Dataset, August, 2024

Learning-Based Verification of Stochastic Dynamical Systems with Neural Network Policies.
CoRR, 2024

CTMCs with Imprecisely Timed Observations.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2024

A Stability-Based Abstraction Framework for Reach-Avoid Control of Stochastic Dynamical Systems with Unknown Noise Distributions.
Proceedings of the European Control Conference, 2024

Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet.
Proceedings of the Principles of Verification: Cycling the Probabilistic Landscape, 2024

2023
Artifact for "CTMCs with Imprecisely Timed Observations".
Dataset, December, 2023

Decision-making under uncertainty: beyond probabilities.
Int. J. Softw. Tools Technol. Transf., June, 2023

Experiments for 'Efficient Sensitivity Analysis for Parametric Robust Markov Chains'.
Dataset, May, 2023

Experiments for 'Efficient Sensitivity Analysis for Parametric Robust Markov Chains'.
Dataset, April, 2023

Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions.
J. Artif. Intell. Res., 2023

Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions.
Proceedings of the Proceedings Fifth International Workshop on Formal Methods for Autonomous Systems, 2023

Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics.
Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

Efficient Sensitivity Analysis for Parametric Robust Markov Chains.
Proceedings of the Computer Aided Verification - 35th International Conference, 2023

Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Experiments for 'Sampling-Based Verification of CTMCs with Uncertain Rates'.
Dataset, September, 2022

Experiments for 'Scenario-Based Verification of Uncertain Parametric MDPs'.
Dataset, June, 2022

Experiments for 'Scenario-Based Verification of Uncertain Parametric MDPs'.
Dataset, June, 2022

Experiments for 'Sampling-Based Verification of CTMCs with Uncertain Rates'.
Dataset, May, 2022

Scenario-based verification of uncertain parametric MDPs.
Int. J. Softw. Tools Technol. Transf., 2022

Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics.
CoRR, 2022

Sampling-Based Verification of CTMCs with Uncertain Rates.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022

Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Filter-Based Abstractions with Correctness Guarantees for Planning under Uncertainty.
CoRR, 2021

Balancing Wind and Batteries: Towards Predictive Verification of Smart Grids.
Proceedings of the NASA Formal Methods - 13th International Symposium, 2021

2019
Buildings-to-Grid Integration with High Wind Power Penetration.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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