Francesca Cairoli

Orcid: 0000-0002-6994-6553

According to our database1, Francesca Cairoli authored at least 22 papers between 2019 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Generative abstraction of Markov population processes.
Theor. Comput. Sci., October, 2023

Data Symmetries and Learning in Fully Connected Neural Networks.
IEEE Access, 2023

Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees.
Proceedings of the Runtime Verification - 23rd International Conference, 2023

Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking.
Proceedings of the Runtime Verification - 23rd International Conference, 2023

Data-Driven Inference of Chemical Reaction Networks via Graph-Based Variational Autoencoders.
Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

Model Abstraction and Conditional Sampling with Score-Based Diffusion Models.
Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

Reliable and Explainable AI in Trieste.
Proceedings of the Italia Intelligenza Artificiale, 2023

Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

2022
Stochastic Variational Smoothed Model Checking.
CoRR, 2022

Neural Predictive Monitoring for Collective Adaptive Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

2021
Neural predictive monitoring and a comparison of frequentist and Bayesian approaches.
Int. J. Softw. Tools Technol. Transf., 2021

Neural Predictive Monitoring Under Partial Observability.
Proceedings of the Runtime Verification - 21st International Conference, 2021

Abstraction of Markov Population Dynamics via Generative Adversarial Nets.
Proceedings of the Computational Methods in Systems Biology, 2021

Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020
Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence.
Cybern. Syst., 2020

Bayesian Neural Predictive Monitoring.
Proceedings of the 2nd Workshop on Artificial Intelligence and Formal Verification, 2020

Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems.
Proceedings of the 2nd Workshop on Artificial Intelligence and Formal Verification, 2020

2019
Neural Predictive Monitoring.
Proceedings of the Runtime Verification - 19th International Conference, 2019

Bayesian Abstraction of Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

Model Predictive Control of glucose concentration based on Signal Temporal Logic specifications.
Proceedings of the 6th International Conference on Control, 2019

Clinical Decision Support Using Colored Petri Nets: a Case Study on Cancer Infusion Therapy.
Proceedings of the 6th International Conference on Control, 2019

Conformal Predictions for Hybrid System State Classification.
Proceedings of the From Reactive Systems to Cyber-Physical Systems, 2019


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