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Luca Laurenti
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2020 – today
- 2024
- [j14]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Probabilistic reach-avoid for Bayesian neural networks. Artif. Intell. 334: 104132 (2024) - [j13]Giannis Delimpaltadakis
, Luca Laurenti
Formal Analysis of the Sampling Behavior of Stochastic Event-Triggered Control. IEEE Trans. Autom. Control. 69(7): 4491-4505 (2024) - [c32]Matthew Wicker
Adversarial Robustness Certification for Bayesian Neural Networks. FM (1) 2024: 3-28 - [c31]Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian:
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances. L4DC 2024: 1633-1645 - [i49]Frederik Baymler Mathiesen, Morteza Lahijanian, Luca Laurenti:
IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes. CoRR abs/2401.04068 (2024) - [i48]Alessandro Riccardi
A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area. CoRR abs/2403.14372 (2024) - [i47]Eduardo Figueiredo, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
Uncertainty Propagation in Stochastic Systems via Mixture Models with Error Quantification. CoRR abs/2403.15626 (2024) - [i46]Rayan Mazouz, Frederik Baymler Mathiesen, Luca Laurenti, Morteza Lahijanian:
Piecewise Stochastic Barrier Functions. CoRR abs/2404.16986 (2024) - [i45]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) - [i44]Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian:
Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances. CoRR abs/2406.09704 (2024) - [i43]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) - [i42]Robert Reed, Luca Laurenti, Morteza Lahijanian:
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification. CoRR abs/2408.09033 (2024) - [i41]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Luca Laurenti, Alessandro Abate:
A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution. CoRR abs/2410.06662 (2024) - [i40]Chun-Wei Kong, Luca Laurenti, Jay McMahon, Morteza Lahijanian:
Error Bounds for Deep Learning-based Uncertainty Propagation in SDEs. CoRR abs/2410.22371 (2024) - 2023
- [j12]Frederik Baymler Mathiesen
Safety Certification for Stochastic Systems via Neural Barrier Functions. IEEE Control. Syst. Lett. 7: 973-978 (2023) - [j11]John Skovbekk
Formal Abstraction of General Stochastic Systems via Noise Partitioning. IEEE Control. Syst. Lett. 7: 3711-3716 (2023) - [j10]Robert Reed
Promises of Deep Kernel Learning for Control Synthesis. IEEE Control. Syst. Lett. 7: 3986-3991 (2023) - [j9]Shadi Ghiasi
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States. IEEE J. Biomed. Health Informatics 27(8): 3721-3730 (2023) - [c30]Frederik Baymler Mathiesen
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design. CDC 2023: 3073-3080 - [c29]Ibon Gracia
Distributionally Robust Strategy Synthesis for Switched Stochastic Systems. HSCC 2023: 11:1-11:10 - [c28]Giannis Delimpaltadakis
Interval Markov Decision Processes with Continuous Action-Spaces. HSCC 2023: 12:1-12:10 - [c27]Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming. ICML 2023: 133-151 - [i39]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) - [i38]Alice Doherty, Matthew Wicker, Luca Laurenti, Andrea Patane:
Individual Fairness in Bayesian Neural Networks. CoRR abs/2304.10828 (2023) - [i37]Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti:
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming. CoRR abs/2306.10742 (2023) - [i36]Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska:
Adversarial Robustness Certification for Bayesian Neural Networks. CoRR abs/2306.13614 (2023) - [i35]Robert Reed, Luca Laurenti, Morteza Lahijanian:
Promises of Deep Kernel Learning for Control Synthesis. CoRR abs/2309.06569 (2023) - [i34]John Skovbekk, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Abstraction of General Stochastic Systems via Noise Partitioning. CoRR abs/2309.10702 (2023) - [i33]Luca Laurenti, Morteza Lahijanian:
Unifying Safety Approaches for Stochastic Systems: From Barrier Functions to Uncertain Abstractions via Dynamic Programming. CoRR abs/2310.01802 (2023) - [i32]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti
Probabilistic Reach-Avoid for Bayesian Neural Networks. CoRR abs/2310.01951 (2023) - 2022
- [j8]Steven Adams
Formal Control Synthesis for Stochastic Neural Network Dynamic Models. IEEE Control. Syst. Lett. 6: 2858-2863 (2022) - [j7]Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska:
Adversarial Robustness Guarantees for Gaussian Processes. J. Mach. Learn. Res. 23: 146:1-146:55 (2022) - [j6]Max Whitby
PID Control of Biochemical Reaction Networks. IEEE Trans. Autom. Control. 67(2): 1023-1030 (2022) - [c26]Elias Benussi, Andrea Patanè, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska:
Individual Fairness Guarantees for Neural Networks. IJCAI 2022: 651-658 - [c25]Rayan Mazouz, Karan Muvvala, Akash Ratheesh, Luca Laurenti, Morteza Lahijanian:
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions. NeurIPS 2022 - [i31]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression. CoRR abs/2201.00655 (2022) - [i30]Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr.:
Formal Analysis of the Sampling Behaviour of Stochastic Event-Triggered Control. CoRR abs/2202.10178 (2022) - [i29]Steven Adams, Morteza Lahijanian, Luca Laurenti:
Formal Control Synthesis for Stochastic Neural Network Dynamic Models. CoRR abs/2203.05903 (2022) - [i28]Elias Benussi, Andrea Patane, Matthew Wicker, Luca Laurenti, Marta Kwiatkowska:
Individual Fairness Guarantees for Neural Networks. CoRR abs/2205.05763 (2022) - [i27]Frederik Baymler Mathiesen, Simeon C. Calvert, Luca Laurenti:
Safety Certification for Stochastic Systems via Neural Barrier Functions. CoRR abs/2206.01463 (2022) - [i26]Rayan Mazouz, Karan Muvvala, Akash Ratheesh, Luca Laurenti, Morteza Lahijanian:
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions. CoRR abs/2206.07811 (2022) - [i25]Luca Bortolussi, Ginevra Carbone, Luca Laurenti, Andrea Patane, Guido Sanguinetti
On the Robustness of Bayesian Neural Networks to Adversarial Attacks. CoRR abs/2207.06154 (2022) - [i24]Giannis Delimpaltadakis, Morteza Lahijanian, Manuel Mazo Jr., Luca Laurenti:
Interval Markov Decision Processes with Continuous Action-Spaces. CoRR abs/2211.01231 (2022) - [i23]Ibon Gracia, Dimitris Boskos, Luca Laurenti, Manuel Mazo Jr.:
Distributionally Robust Strategy Synthesis for Switched Stochastic Systems. CoRR abs/2212.14260 (2022) - 2021
- [j5]Luca Cardelli
A Language for Modeling and Optimizing Experimental Biological Protocols. Comput. 9(10): 107 (2021) - [j4]Luca Laurenti
Formal and Efficient Synthesis for Continuous-Time Linear Stochastic Hybrid Processes. IEEE Trans. Autom. Control. 66(1): 17-32 (2021) - [c24]Matthew Wicker, Luca Laurenti, Andrea Patane, Zhuotong Chen, Zheng Zhang, Marta Kwiatkowska:
Bayesian Inference with Certifiable Adversarial Robustness. AISTATS 2021: 2431-2439 - [c23]Giannis Delimpaltadakis
Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems. CDC 2021: 1287-1294 - [c22]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression. CDC 2021: 2232-2239 - [c21]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Strategy synthesis for partially-known switched stochastic systems. HSCC 2021: 6:1-6:11 - [c20]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of iterative predictions in Bayesian neural networks. UAI 2021: 1713-1723 - [i22]Matthew Wicker, Luca Laurenti, Andrea Patane, Zhoutong Chen, Zheng Zhang, Marta Kwiatkowska:
Bayesian Inference with Certifiable Adversarial Robustness. CoRR abs/2102.05289 (2021) - [i21]Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo Jr.:
Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems. CoRR abs/2103.13839 (2021) - [i20]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Strategy Synthesis for Partially-known Switched Stochastic Systems. CoRR abs/2104.02172 (2021) - [i19]Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska:
Adversarial Robustness Guarantees for Gaussian Processes. CoRR abs/2104.03180 (2021) - [i18]Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of Iterative Predictions in Bayesian Neural Networks. CoRR abs/2105.10134 (2021) - [i17]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression. CoRR abs/2110.05525 (2021) - 2020
- [c19]Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts:
Adversarial Robustness Guarantees for Classification with Gaussian Processes. AISTATS 2020: 3372-3382 - [c18]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Safety Verification of Unknown Dynamical Systems via Gaussian Process Regression. CDC 2020: 860-866 - [c17]Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Iterative Predictions with Gaussian Processes. CDC 2020: 3187-3193 - [c16]Shadi Ghiasi, Andrea Patanè, Alberto Greco
Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition. EMBC 2020: 54-57 - [c15]Emanuele La Malfa
Assessing Robustness of Text Classification through Maximal Safe Radius Computation. EMNLP (Findings) 2020: 2949-2968 - [c14]Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska:
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control. ICRA 2020: 7344-7350 - [c13]Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patané, Luca Bortolussi, Guido Sanguinetti:
Robustness of Bayesian Neural Networks to Gradient-Based Attacks. NeurIPS 2020 - [c12]Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska:
Probabilistic Safety for Bayesian Neural Networks. UAI 2020: 1198-1207 - [i16]Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti:
Robustness of Bayesian Neural Networks to Gradient-Based Attacks. CoRR abs/2002.04359 (2020) - [i15]John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Safety Verification of Unknown Dynamical Systems via Gaussian Process Regression. CoRR abs/2004.01821 (2020) - [i14]Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska:
Probabilistic Safety for Bayesian Neural Networks. CoRR abs/2004.10281 (2020) - [i13]Emanuele La Malfa
Assessing Robustness of Text Classification through Maximal Safe Radius Computation. CoRR abs/2010.02004 (2020) - [i12]Matthew Yuan, Matthew Wicker, Luca Laurenti:
Gradient-Free Adversarial Attacks for Bayesian Neural Networks. CoRR abs/2012.12640 (2020)
2010 – 2019
- 2019
- [j3]Luca Bortolussi
Central Limit Model Checking. ACM Trans. Comput. Log. 20(4): 19:1-19:35 (2019) - [c11]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane:
Robustness Guarantees for Bayesian Inference with Gaussian Processes. AAAI 2019: 7759-7768 - [c10]Max Whitby, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Mirco Tribastone, Max Tschaikowski
PID Control of Biochemical Reaction Networks. CDC 2019: 8372-8379 - [c9]Nathalie Cauchi, Luca Laurenti, Morteza Lahijanian, Alessandro Abate, Marta Kwiatkowska, Luca Cardelli:
Efficiency through uncertainty: scalable formal synthesis for stochastic hybrid systems. HSCC 2019: 240-251 - [c8]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti
Statistical Guarantees for the Robustness of Bayesian Neural Networks. IJCAI 2019: 5693-5700 - [i11]Nathalie Cauchi, Luca Laurenti, Morteza Lahijanian, Alessandro Abate, Marta Kwiatkowska, Luca Cardelli:
Efficiency through Uncertainty: Scalable Formal Synthesis for Stochastic Hybrid Systems. CoRR abs/1901.01576 (2019) - [i10]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker:
Statistical Guarantees for the Robustness of Bayesian Neural Networks. CoRR abs/1903.01980 (2019) - [i9]Max Whitby, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Mirco Tribastone, Max Tschaikowski:
PID Control of Biochemical Reaction Networks. CoRR abs/1903.10390 (2019) - [i8]Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts:
Robustness Quantification for Classification with Gaussian Processes. CoRR abs/1905.11876 (2019) - [i7]Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska:
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control. CoRR abs/1909.09884 (2019) - [i6]Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Planning Based on Iterative Gaussian Processes. CoRR abs/1912.00071 (2019) - 2018
- [j2]Luca Cardelli
Programming discrete distributions with chemical reaction networks. Nat. Comput. 17(1): 131-145 (2018) - [c7]Alessandro Abate, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Boyan Yordanov:
Experimental Biological Protocols with Formal Semantics. CMSB 2018: 165-182 - [i5]Luca Bortolussi, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti:
Central Limit Model Checking. CoRR abs/1804.08744 (2018) - [i4]Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane:
Robustness Guarantees for Bayesian Inference with Gaussian Processes. CoRR abs/1809.06452 (2018) - 2017
- [c6]Luca Cardelli
Syntax-Guided Optimal Synthesis for Chemical Reaction Networks. CAV (2) 2017: 375-395 - [c5]Luca Laurenti, Alessandro Abate, Luca Bortolussi, Luca Cardelli, Milan Ceska, Marta Z. Kwiatkowska:
Reachability Computation for Switching Diffusions: Finite Abstractions with Certifiable and Tuneable Precision. HSCC 2017: 55-64 - [i3]Alessandro Abate, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Boyan Yordanov:
Experimental Biological Protocols with Formal Semantics. CoRR abs/1710.08016 (2017) - 2016
- [j1]Luca Cardelli
Stochastic analysis of Chemical Reaction Networks using Linear Noise Approximation. Biosyst. 149: 26-33 (2016) - [c4]Luca Cardelli
A Stochastic Hybrid Approximation for Chemical Kinetics Based on the Linear Noise Approximation. CMSB 2016: 147-167 - [c3]Luca Cardelli
Programming Discrete Distributions with Chemical Reaction Networks. DNA 2016: 35-51 - [c2]Luca Bortolussi
Approximation of Probabilistic Reachability for Chemical Reaction Networks Using the Linear Noise Approximation. QEST 2016: 72-88 - [i2]Luca Cardelli, Marta Z. Kwiatkowska, Luca Laurenti:
Programming Discrete Distributions with Chemical Reaction Networks. CoRR abs/1601.02578 (2016) - 2015
- [c1]Luca Cardelli
Stochastic Analysis of Chemical Reaction Networks Using Linear Noise Approximation. CMSB 2015: 64-76 - [i1]Luca Laurenti, Luca Cardelli, Marta Z. Kwiatkowska:
Stochastic Analysis of Chemical Reaction Networks Using Linear Noise Approximation. CoRR abs/1506.07861 (2015)
Coauthor Index
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last updated on 2024-12-10 21:41 CET by the dblp team
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