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Publication search results
found 115 matches
- 2024
- Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Probabilistic reach-avoid for Bayesian neural networks. Artif. Intell. 334: 104132 (2024) - Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo:
Formal Analysis of the Sampling Behavior of Stochastic Event-Triggered Control. IEEE Trans. Autom. Control. 69(7): 4491-4505 (2024) - Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska:
Adversarial Robustness Certification for Bayesian Neural Networks. FM (1) 2024: 3-28 - Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian:
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances. L4DC 2024: 1633-1645 - Frederik Baymler Mathiesen, Morteza Lahijanian, Luca Laurenti:
IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes. CoRR abs/2401.04068 (2024) - Alessandro Riccardi, Luca Laurenti, Bart De Schutter:
A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area. CoRR abs/2403.14372 (2024) - Eduardo Figueiredo, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
Uncertainty Propagation in Stochastic Systems via Mixture Models with Error Quantification. CoRR abs/2403.15626 (2024) - Rayan Mazouz, Frederik Baymler Mathiesen, Luca Laurenti, Morteza Lahijanian:
Piecewise Stochastic Barrier Functions. CoRR abs/2404.16986 (2024) - Rayan Mazouz, John Skovbekk, Frederik Baymler Mathiesen, Eric W. Frew, Luca Laurenti, Morteza Lahijanian:
Data-Driven Permissible Safe Control with Barrier Certificates. CoRR abs/2405.00136 (2024) - Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian:
Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances. CoRR abs/2406.09704 (2024) - Steven Adams, Andrea Patanè, Morteza Lahijanian, Luca Laurenti:
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection. CoRR abs/2407.18707 (2024) - 2023
- Alexandre Rossetto Garcia, Alberto Carlos de Campos Bernardi, José Ricardo Macedo Pezzopane, Veronica Redaelli, Fabio Luzi, Nicolle Laurenti, Lucas Perassoli Menegazzo, Christine Elisabeth Grudzinski, Paulo Cerqueira dos Santos Junior, Antonio Vinicius Corrêa Barbosa:
Use of infrared thermography from a crewed aerial vehicle for remote sensing of tropical pasture areas with different levels of afforestation. Comput. Electron. Agric. 213: 108198 (2023) - Frederik Baymler Mathiesen, Simeon C. Calvert, Luca Laurenti:
Safety Certification for Stochastic Systems via Neural Barrier Functions. IEEE Control. Syst. Lett. 7: 973-978 (2023) - Robert Reed, Luca Laurenti, Morteza Lahijanian:
Promises of Deep Kernel Learning for Control Synthesis. IEEE Control. Syst. Lett. 7: 3986-3991 (2023) - John Skovbekk, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Abstraction of General Stochastic Systems via Noise Partitioning. IEEE Control. Syst. Lett. 7: 3711-3716 (2023) - Shadi Ghiasi, Andrea Patane, Luca Laurenti, Claudio Gentili, Enzo Pasquale Scilingo, Alberto Greco, Marta Kwiatkowska:
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States. IEEE J. Biomed. Health Informatics 27(8): 3721-3730 (2023) - Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design. CDC 2023: 3073-3080 - Iulian Vasiliev, Irina Luca, Larisa Condrachi, Laurentiu Luca, Marian Barbu, Ramón Vilanova, Sergiu Caraman:
Model Predictive Control of a wastewater treatment process using neural networks. ETFA 2023: 1-7 - Iulian Vasiliev, Laurentiu Luca, Marian Barbu, Ramón Vilanova, Sergiu Caraman:
Sliding Window-based Particle Swarm optimization Algorithm for a Sewer Network. ECC 2023: 1-6 - Giannis Delimpaltadakis, Morteza Lahijanian, Manuel Mazo Jr., Luca Laurenti:
Interval Markov Decision Processes with Continuous Action-Spaces. HSCC 2023: 12:1-12:10 - Ibon Gracia, Dimitris Boskos, Luca Laurenti, Manuel Mazo Jr.:
Distributionally Robust Strategy Synthesis for Switched Stochastic Systems. HSCC 2023: 11:1-11:10 - Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming. ICML 2023: 133-151 - Iulian Vasiliev, Laurentiu Luca, Marian Barbu, Ramón Vilanova, Sergiu Caraman:
An analysis towards integrated control of wastewater collecting and treatment systems. ICSTCC 2023: 233-238 - Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner approximations of stochastic programs for data-driven stochastic barrier function design. CoRR abs/2304.04505 (2023) - Alice Doherty, Matthew Wicker, Luca Laurenti, Andrea Patane:
Individual Fairness in Bayesian Neural Networks. CoRR abs/2304.10828 (2023) - Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming. CoRR abs/2306.10742 (2023) - Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska:
Adversarial Robustness Certification for Bayesian Neural Networks. CoRR abs/2306.13614 (2023) - Robert Reed, Luca Laurenti, Morteza Lahijanian:
Promises of Deep Kernel Learning for Control Synthesis. CoRR abs/2309.06569 (2023) - John Skovbekk, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Abstraction of General Stochastic Systems via Noise Partitioning. CoRR abs/2309.10702 (2023) - Luca Laurenti, Morteza Lahijanian:
Unifying Safety Approaches for Stochastic Systems: From Barrier Functions to Uncertain Abstractions via Dynamic Programming. CoRR abs/2310.01802 (2023)
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