Biography
Alessio Benavoli is an internationally recognised researcher in statistics, probabilistic machine learning, and automation. He received his Master's degree (2004) and his Ph.D. (2008) in Computer and Control Engineering from the University of Florence, Italy. From 2007 to 2008, he worked for the international company SELEX-Sistemi Integrati as system analyst. From 2008 to 2019, he was at the Dalle Molle Institute for Artificial Intelligence (IDSIA) in Lugano, Switzerland, becoming full professor in 2018. From 2019 to 2021, he was Senior Lecturer in Artificial Intelligence and Machine Learning (ML) at the University of Limerick (Ireland). Currently, he is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin. Alessio has ~130 technical peer-reviewed publications in main scientific journals and conferences in AI, machine learning (ML) and statistics, and his research bridges AI and ML, data science and engineering. He has 20 years experience in developing statistical models and AI-based systems for industry with applications to smart manufacturing, quantitative finance, green energy production forecast and defence sector.
Publications and Further Research Outputs
Peer-Reviewed Publications
Zaffalon, Marco and Benavoli, Alessio and Gualtieri, Giulia, 'Method to obtain statistical information on data while protecting privacy', WO, WO2025051375A1, 2026, 27 July 2026
Alessio Benavoli, Dario Azzimonti, A tutorial on learning from preferences and choices with Gaussian processes, Foundations and Trends® in Machine Learning, 19, (1), 2026, p1 - 120, p1-120
Fiona Murphy and Alessio Benavoli, Constraint- and Score-Based Nonlinear Granger Causality Discovery with Kernels, Machine Learning, 115, (7), 2026, p150
Alessio Benavoli, Felix Binder, Quantum Wiener architecture for quantum reservoir computing, Physics Review A, 114, (1), 2026, p012433
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, The AI off-switch problem as a signalling game: bounded rationality and incomparability, Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications, International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA), edited by Sébastien Destercke and Alexander Erreygers and Max Nendel and Frank Riedel and Matthias C. M. Troffaes , 290, PMLR, 2025, pp1--11
Fiona Murphy and Marina Navas Bachiller and Deirdre D 'Arcy and Alessio Benavoli, Gaussian process with dissolution spline kernel for in vitro dissolution testing, Journal of the Royal Statistical Society Series C: Applied Statistics, 2025, pqlaf052
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Connecting classical finite exchangeability to quantum theory and indistinguishability, International Journal of Approximate Reasoning, 2025, p109604
James Waterson, Arash Negahdari Kia, Stuart Rolt, Norma Bargary, Samuel Garcia, Jeremy Robertson, Alessio Benavoli, David Bergström, Kevin Burke, Predictive models for intravenous infusion longevity via infusion pump event log analysis, Journal of Critical Care, 81, 2024, p154577-154577
Branko Ristic and Alessio Benavoli and Sanjeev Arulampalam, Bayes' Rule Using Imprecise Probabilities [Lecture Notes], IEEE Signal Processing Magazine, 41, (1), 2024, p67-71
Alessio Benavoli and Dario Azzimonti, Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability, The 40th Conference on Uncertainty in Artificial Intelligence, Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Michael Held, Dario PIGA, Loris ROVEDA, Alessio BENAVOLI, Luca Maria Gambardella, 'Computer implemented method of and optimisation tool for refinement of laser cutting processing parameters by means of an optimization tool', WO, 2024, 31 July 2026
Branko Ristic and Alessio Benavoli, Credal Valuation Network for Ongoing Threat Assessment, 2024 27th International Conference on Information Fusion (FUSION), International Conference on Information Fusion (FUSION), 2024, pp1--7
Ristic, Branko and Benavoli, Alessio and Arulampalam, Sanjeev, Credal Valuation Networks for Machine Reasoning Under Uncertainty, IEEE Transactions on Artificial Intelligence, 2023, p1-10
Branko Ristic and Alessio Benavoli and Alex Skvortsov, Robust target area search using sets of probabilities, Digital Signal Processing, 142, 2023, p104195
Arash Kia and James Waterson and Norma Bargary and Stuart Rolt and Kevin Burke and Jeremy Robertson and Samuel Garcia and Alessio Benavoli and David Bergström, Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study, JMIR AI, 2, 2023, pe48628
Alessio Benavoli and Dario Azzimonti and Dario Piga, Learning Choice Functions with Gaussian Processes, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Conference on Uncertainty in Artificial Intelligence (UAI), edited by Robin J. Evans and Ilya Shpitser , 216, PMLR, 2023, pp141--151
Alessio Benavoli and Dario Azzimonti and Dario Piga, Bayesian Optimization For Choice Data, 2023 Genetic and Evolutionary Computation Conference Companion (GECCO '23 Companion), July 15--19, 2023, Lisbon, 2023
Arianna Casanova and Alessio Benavoli and Marco Zaffalon, Nonlinear desirability as a linear classification problem, International Journal of Approximate Reasoning, 152, 2023, p1-32
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Closure operators, classifiers and desirability, Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications, PMLR 215:25-36, International Symposium on Imprecise Probability: Theories and Applications (ISIPTA), Oviedo, Spain, edited by Enrique Miranda, Ignacio Montes, Erik Quaeghebeur, Barbara Vantaggi , 2023
EANNA McGRATH, NICK MAHONY, NEIL FLEMING, ALESSIO BENAVOLI, and BERNARD DONNE, Prediction of Functional Threshold Power from Graded Exercise Test Data in Highly-Trained Individuals, International Journal of Exercise Science, 15, (4), 2022, p747 - 759
Manuel Schuerch and Dario Azzimonti and Alessio Benavoli and Marco Zaffalon, Correlated Product of Experts for Sparse Gaussian Process Regression, Machine Learning, 2022
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Quantum indistinguishability through exchangeability, International Journal of Approximate Reasoning, 151, 2022, p389-412
Almardeny, Yahya and Benavoli, Alessio and Boujnah, Noureddine and Naredo, Enrique, A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences, IEEE Transactions on Artificial Intelligence, 2022, p1-1
Casanova, Arianna and Benavoli, Alessio and Zaffalon, Marco, Nonlinear Desirability as a Linear Classification Problem, ISIPTA'21 Int. Symposium on Imprecise Probability: Theories and Applications, PJMLR, International Symposium on Imprecise Probability: Theories and Applications (ISIPTA), 2021
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Quantum indistinguishability through exchangeable desirable gambles, ISIPTA'21 Int. Symposium on Imprecise Probability: Theories and Applications, PJMLR, International Symposium on Imprecise Probability: Theories and Applications (ISIPTA), 2021
Benavoli, Alessio and Corani, Giorgio, State Space Approximation of Gaussian Processes for Time Series Forecasting, Advanced Analytics and Learning on Temporal Data, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Cham, edited by Lemaire, Vincent and Malinowski, Simon and Bagnall, Anthony and Guyet, Thomas and Tavenard, Romain and Ifrim, Georgiana , Springer International Publishing, 2021, pp21--35
Alessio Benavoli, Cassio P. de Campos, Bayesian Independence Test with Mixed-type Variables, 7, 2021, p1 - 13
Kania, Lucas and Schürch, Manuel and Azzimonti, Dario and Benavoli, Alessio, Sparse Information Filter for Fast Gaussian Process Regression, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD, mation Filter for Fast Gaussian Process Regression, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD, 2021
Benavoli , Alessio and Facchini, Alessandro and Zaffalon, Marco, The Weirdness Theorem and the Origin of Quantum Paradoxes, Foundations of Physics, 51, (95), 2021
Alessio Benavoli and Dario Azzimonti and Dario Piga, Preferential Bayesian optimisation with Skew Gaussian Processes, 2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion), July 10--14, 2021, Lille, France, Genetic and Evolutionary Computation Conference Companion (GECCO), New York, NY, USA, ACM, 2021
Benavoli A., Wyse J. and White A., Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect, PROBPROG, 2021
Alessio Benavoli and Alessio Balleri and Alfonso Farina, Joint Waveform and Guidance Control Optimization by Statistical Linearisation for Target Rendezvous, IEEE Radar Conference 2021, May 8-14, Atlanta (USA), IEEE Radar Conference, 2021
Corani, Giorgio; Benavoli, Alessio; Augusto, Joao; Zaffalon, Marco, Time series forecasting with Gaussian Processes needs priors , European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD, Bilbao, Spain, 13-17 September, 2021
Alessio Benavoli, Dario Azzimonti, Dario Piga, A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes, Machine Learning, 2021
Alessio Benavoli and Cassio de Campos, Bayesian Kernelised Test of (In)dependence with Mixed-type Variables, The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). Porto, Portugal, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021
Ristic, B.; Gilliam, C.; Byrne, M.; Benavoli, A., A tutorial on uncertainty modeling for machine reasoning, Information Fusion, 55, 2020, p30 - 44
Benavoli, A.; Azzimonti, D.; Piga, D., Skew Gaussian processes for classification, Machine Learning, 109, 2020, p1877 - 1902
Schürch, M.; Azzimonti, D.; Benavoli, A.; Zaffalon, M., Recursive estimation for sparse Gaussian process regression, Automatica, 120, 2020, p109 - 127
Piga, D.; Bemporad, A.; Benavoli, A., Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models, Automatica, 117, 2020
Piga, D. ; Benavoli, A., Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering, European Control Conference (ECC), Naples, Italy, 25-28 June , 2019
Benavoli, A; Balleri, A; Farina, A, Joint Waveform and Guidance Control Optimization for Target Rendezvous, IEEE Transactions on Signal Processing, 67, (16), 2019, p4357 - 4369
Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon, Sum-of-squares for bounded rationality, International Journal of Approximate Reasoning, 2019, p130 - 152
Benavoli, A. ; Facchini, A. ; Zaffalon, M., Bernstein's socks, polynomial-time provable coherence and entanglement, PJMLR, International Symposium on Imprecise Probability: Theories and Applications (ISIPTA), Ghent, Belgium, edited by Bock, De J; de Campos, C; de Cooman, G; Quaeghebeur, E; Wheeler, G , 2019
Benavoli, A., Dual Probabilistic Programming, PROBPROG 2018 The International Conference on Probabilistic Programmin, MIT, Boston, US, 2018
Benavoli, A.; Facchini, A. ; Piga, D.; Zaffalon, M., SOS for bounded rationality, Proc. ISIPTA'17 Int. Symposium on Imprecise Probability: Theories and Applications,, 2017
Benavoli, A. ; Corani, G. ; Demsar, J. ; Zaffalon, M., Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis, Journal of Machine Learning Research, 18, (77), 2017, p1 - 36
Biologically-inspired coordination of guidance and adaptive radiated waveform for interception and rendezvous problems in, editor(s)Alessio Balleri; Hugh Griffiths; Chris Baker , Biologically-Inspired Radar and Sonar: Lessons from nature, 2017, [Alessio Balleri, Alfonso Farina, and Alessio Benavoli]
Balleri, Alessio ; Benavoli, Alessio ; Farina, Alfonso, Coordination of Guidance and Adaptive Radiated Waveform for Interception and Rendezvous Problems, 18th International Radar Symposium (IRS 2017),, 2017
Balleri, Alessio ; Farina, Alfonso ; Benavoli, Alessio, Coordination of optimal guidance law and adaptive radiated waveform for interception and rendezvous problems, IET Radar, Sonar & Navigation, 2017
Maradia, Umang; Benavoli, Alessio; Boccadoro, Marco; Klyuev, Mikhail; Gambardella, Luca; Wegener, Konrad; Bonesana, Claudio; Zaffalon, Marco, EDM Drilling optimisation using stochastic optimisation, CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME `17, 2017
Corani, G.; Benavoli, A.; Dem ar, J.; Mangili, F.; Zaffalon, M., Statistical comparison of classifiers through Bayesian hierarchical modelling, Machine Learning, 2017, p1 - 21
Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Bayes + Hilbert = Quantum Mechanics, Proceedings of the 14th International Conference on Quantum Physics and Logic (QPL 2017), 2017
Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics, Foundations of Physics, 2017
Piga, Dario ; Benavoli, Alessio, A unified framework for deterministic and probabilistic D-stability analysis of uncertain polynomial matrices, Automatic Control, IEEE Transactions on, 2017
Benavoli, Alessio ; Facchini, Alessandro ; Vicente-Perez, Jose ; Zaffalon, Marco, A polarity theory for sets of desirable gambles, Proc. ISIPTA'17 Int. Symposium on Imprecise Probability: Theories and Applications,, 2017
de Campos, Cassio P; Benavoli, Alessio, Joint Analysis of Multiple Algorithms and Performance Measures, New Generation Computing, 2016
Benavoli, Alessio ; de Campos, Cassio P, Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables, Entropy, 2016
Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices, Phys. Rev. A, 2016
Corani, Giorgio ; Benavoli, Alessio ; Dem ar, Janez ; Mangili, Francesca ; Zaffalon, Marco, Statistical comparison of classifiers through Bayesian hierarchical modelling, Machine Learning, 2016
Benavoli, Alessio ; Facchini, Alessandro ; Zaffalon, Marco, Quantum rational preferences and desirability, Proceedings of The 1st International Workshop on "Imperfect Decision Makers: Admitting Real-World Rationality", NIPS 2016,, 2016
Benavoli, Alessio ; Piga, Dario, A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding, Automatica, 2016
Corani, Giorgio ; Benavoli, Alessio, A Bayesian approach for comparing cross-validated algorithms on multiple data sets, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015
Benavoli, Alessio ; Mangili, Francesca ; Ruggeri, Fabrizio ; Zaffalon, Marco, Imprecise Dirichlet Process With Application to the Hypothesis Test on the Probability that X< Y, Journal of Statistical Theory and Practice, 2015
Benavoli, Alessio ; de Campos, Cassio P, Statistical Tests for Joint Analysis of Performance Measures, Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings, 2015
Mangili, Francesca ; Benavoli, Alessio, New prior near-ignorance models on the simplex, International Journal of Approximate Reasoning, 2015
Benavoli, Alessio ; Mangili, Francesca, Gaussian Processes for Bayesian hypothesis tests on regression functions, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTAT 2015), 2015
Corani, Giorgio ; Benavoli, Alessio, A Bayesian approach for comparing cross-validated algorithms on multiple data sets, Machine Learning, 2015
Benavoli, Alessio ; Corani, Giorgio ; Mangili, Francesca ; Zaffalon, Marco, A Bayesian nonparametric procedure for comparing algorithms, Proceedings of the 31th International Conference on Machine Learning (ICML 2015), 2015
Mangili, Francesca ; Benavoli, Alessio ; de Campos, Cassio P; Zaffalon, Marco, Reliable survival analysis based on the Dirichlet Process, Biometrical Journal, 2015
Benavoli, Alessio ; Zaffalon, Marco, Prior near ignorance for inferences in the k-parameter exponential family, Statistics, 2014
Benavoli, Alessio ; Mangili, Francesca ; Corani, Giorgio ; Zaffalon, Marco ; Ruggeri, Fabrizio, A Bayesian Wilcoxon signed-rank test based on the Dirichlet process, Proceedings of the 30th International Conference on Machine Learning (ICML 2014), 2014
Benavoli, Alessio, Belief function and multivalued mapping robustness in statistical estimation, International Journal of Approximate Reasoning, 2014
Mauá, Denis Deratani ; de Campos, Cassio P; Benavoli, Alessio ; Antonucci, Alessandro, Probabilistic Inference in Credal Networks: New Complexity Results, Journal of Artifical Intelligence Research, 2014
Maua, Denis Deratani and de Campos, Cassio P. and Benavoli, Alessio and Antonucci, Alessandro, On the Complexity of Strong and Epistemic Credal Networks, Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013, pp391-400
Benavoli, Alessio and Papi, Francesco, Set-membership PHD filter, Information Fusion (FUSION), 2013 Proc. of the 16th International Conference on, 2013, pp1722 --1729
Benavoli, Alessio, Imprecise Hierarchical Dirichlet model with applications, Information Fusion (FUSION), 2013 Proc. of the 16th International Conference on, 2013, pp1--8
Benavoli, Alessio, The Generalized Moment-Based Filter, Automatic Control, IEEE Transactions on, 58, (10), 2013, p2642-2647
Benavoli, Alessio and Zaffalon, Marco, Density-ratio robustness in dynamic state estimation, Mechanical Systems and Signal Processing, 37, (12), 2013, p54 - 75
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, Data-Driven Strategies for selective data transmission in sensor networks, Conference on Decision and Control, 2012
Benavoli, Alessio and Noack, Benjamin, Pushing Kalman's Idea to the Extremes, Information Fusion (FUSION), 2012, 2012
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State estimation with remote sensors and intermittent transmissions, Systems & Control Letters, 61, (1), 2012, p155 - 164
Belief Function Robustness in Estimation in, editor(s)Denoeux, Thierry and Masson, Marie-Helene , Belief Functions: Theory and Applications. Advances in Intelligent and Soft Computing, Springer Berlin / Heidelberg, 2012, pp375-383 , [Benavoli, Alessio]
Benavoli, Alessio and Zaffalon, Marco, A model of prior ignorance for inferences in the one-parameter exponential family, Journal of Statistical Planning and Inference, 142, (7), 2012, p1960 - 1979
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, Data-driven communication for state estimation with sensor networks, Automatica, 48, (5), 2012, p926 - 935
Data Fusion using Evidential Networks for Decision Support in Surveillance Systems in, editor(s)Mahendra Mallick, Vikram Krishnamurthy, Ba-Ngu Vo , Integrated Tracking, Classification, and Sensor Management: Theory and Applications, Wiley, 2012, ppCh. 18 , [Benavoli, Alessio and Ristic, Branko]
Benavoli, Alessio and Zaffalon, Marco, A discussion on learning and prior ignorance for sets of priors in the one-parameter exponential family, Proc. ISIPTA'11 - 7th Int. Symposium on imprecise Probability: Theories and Applications, Belief Functions: Theory and Applications, Innsbruck (AU), 2011, pp1--10
Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso and Graziano, Antonio, Optimal Flow Models for Multiscan Data Association, Aerospace and Electronic Systems, IEEE Transactions on, 47, (4), 2011, p2405 -2422
Benavoli, Alessio and Zaffalon, Marco and Miranda, Enrique, Robust Filtering Through Coherent Lower Previsions, Automatic Control, IEEE Transactions on, 56, (7), 2011, p1567 -1581
Hernandez, Marcel and Benavoli, Alessio and Graziano, Antonio and Farina, Alfonso and Morelande, Mark, Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors, Aerospace and Electronic Systems, IEEE Transactions on, 47, (2), 2011, p996 -1025
Benavoli, Alessio and Ristic, Branko, Classification with Imprecise Likelihoods: A comparison of TBM, Random Set and Imprecise Probability Approach, Information Fusion (FUSION), 2011 Proc. of the 14th International Conference on, Belief Functions: Theory and Applications, 2011, pp1--8
de Campos, Cassio P. and Benavoli, Alessio, Inference with Multinomial Data: Why to Weaken the Prior Strength., Proc. of the 22th International Joint Conference on Artificial Intelligence IJCAI, Belief Functions: Theory and Applications, edited by Walsh, Toby , 2011, pp2107-2112
Benavoli, Alessio and Chisci, Luigi, Robust stochastic control based on imprecise probabilities, Proc. of the 18th IFAC World Congress, 2011, pp4606--4613
Corani, Giorgio and Benavoli, Alessio, Restricting the IDM for Classification, International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, edited by Haullermeier, Eyke and Kruse, Rudolf and Hoffmann, Frank , Springer Berlin Heidelberg, 2010, pp328-337
Benavoli, Alessio, Interval dominance based data association, Information Fusion, 2010. FUSION '10. 13th International Conference on, 2010, pp1 -8
Benavoli, Alessio and Antonucci, Alessandro, Aggregating Imprecise Probabilistic Knowledge: application to Zadeh's paradox and sensor networks, Int. Journal of Approximate Reasoning, 51, (9), 2010, p1014--1028
Antonucci, Alessandro and Benavoli, Alessio and Zaffalon, Marco and de Cooman, Gert and Hermans, Filip, Multiple Model Tracking by Imprecise Markov Trees, Information Fusion, 2009. FUSION '09. 12th International Conference on, Seattle (USA), 2009, pp1767--1774
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State Estimation with remote sensors and data driven communication, Proc. on 1st IFAC workshop on Estimation and Control of networked systems, Venice (IT), 2009
Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Fibonacci sequence, golden section, Kalman filter and optimal control, Signal Processing, 89, (8), 2009, p1483--1488
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State Estimation in a Centralized Sensor Network under Limited Communication Rate, Proc. on European Control Conference (ECC), Budapest, Hungary, 2009
State Estimation in a Sensor Network under Bandwidth Constraints in, editor(s)Alessandro Chiuso, Luigi Fortuna, Mattia Frasca, Alessandro Rizzo, Luca Schenato, Sandro Zampieri , Modelling, Estimation and Control of Networked Complex Systems, Springer, 2009, pp207--221 , [Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi]
Benavoli, Alessio and Antonucci, Alessandro, Aggregating Imprecise Probabilistic Knowledge, Proc. ISIPTA'09 - 6th Int. Symposium on imprecise Probability: Theories and Applications, Durham (UK), 2009, pp31--41
Benavoli, Alessio and Zaffalon, Marco and Miranda, Enrique, Reliable hidden Markov model filtering through coherent lower previsions, Information Fusion, 2009. FUSION '09. 12th International Conference on, Seattle (USA), 2009, pp1743--1750
Benavoli, Alessio and Ristic, Branko and Farina, Alfonso and Oxenham, Martin and Chisci, Luigi, An Application of Evidential Networks to Threat Assessment, Aerospace and Electronic Systems, IEEE Transactions on, 45, (2), 2009, p620--639
Benavoli, Alessio and de Campos, Cassio P., Inference from multinomial data based on a MLE-dominance criterion, Proc. on European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (Ecsqaru), Verona (IT), Springer Berlin / Heidelberg, 2009, pp22--33
Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso, Multiscan association as a single-commodity flow optimization problem, Radar Conference, 2008. RADAR '08. IEEE, Adelaide, Australia, 2008, pp519--524
Benavoli, Alessio and Ristic, Branko and Farina, Alfonso and Oxenham, Martin and Chisci, Luigi, An approach to Threat Assessment Based on Evidential Networks, Information Fusion, 2008. FUSION '08. 10th International Conference on, Quebec city, Canada, 2008, pp1--6
Chisci, Luigi and Benavoli, Alessio and Farina, Alfonso, Tracking a target moving in a known road network by square-root equality-constrained filtering, Radar Conference, 2008. RADAR '08. IEEE, Roma, Italy, 2008, pp1--6
Benavoli, Alessio and Chisci, Luigi and Ristic, Branko and Farina, Alfonso, Modelling Uncertain Implication Rules in Evidence Theory, Information Fusion, 2008. FUSION '08. 11th International Conference on, Cologne, Germany, 2008, pp1--8
Battistelli, Giorgio and Benavoli, Alessio and Chisci, Luigi, State estimation with a remote sensor under limited communication rate, Proc. on 3rd Int. Symp. on Communications, Control and Signal Processing (ISCCSP), Malta, 2008, pp654--659
Benavoli, Alessio and Farina, Alfonso and Ortenzi, Luciana, MLE in presence of equality and inequality non-linear constraints for the ballistic target problem, Radar Conference, 2008. RADAR '08. IEEE, Roma, Italy, 2008, pp1--6
Benavoli, Alessio and Di Lallo, Annarita, Why Should We Use Particle Filtering in FM Band Passive Radar?, Proc. on European Radar Conference Amsterdam (EuRAD), Amsterdam, Netherlands, 2008, pp344--347
Battistelli, Giorgio and Chisci, Luigi and Morrocchi, Stefano and Papi, Francesco and Benavoli, Alessio and Farina, Alfonso and Graziano, Antonio, Traffic intensity estimation via PHD filtering, Proc. on European Radar Conference Amsterdam (EuRAD), Amsterdam, Netherlands, 2008, pp340--343
Battistelli, Giorgio and Chisci, Luigi and Papi, Francesco and Farina, Alfonso and Benavoli, Alessio, Multiscan association as a multi-commodity flow optimization problem, Proc. on IEEE Radar Conference, Roma, Italy, 2008, pp1--6
Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Tracking of a ballistic missile with a-priori information, Aerospace and Electronic Systems, IEEE Transactions on, 43, (3), 2007, p1000--1016
Knowledge-Based radar Tracking in, editor(s)Fulvio Gini, Muralidhar Rangaswamy , Knowledge"Based Radar Detection, Tracking, and Classification, New York, John Wiley & Sons, Inc., 2007, [Benavoli, Alessio; Chisci, Luigi; Farina, Alfonso; Immediata, Sandro; Timmoneri, Luca]
Benavoli, Alessio and Chisci, Luigi and Farina, Alfonso, Estimation of constrained parameters with guaranteed MSE improvement, Signal Processing, IEEE Transactions on, 55, (4), 2007, p1264--1274
, Modelling and efficient fusion of uncertain information: beyond the classical probability approach, 2007
Benavoli, Alessio and Chisci, Luigi, Towards optimal energy-quality tradeoff in tracking via sensor networks, Proc. on European Control Conference (ECC), Kos, Greece, 2007, pp1--5
Benavoli, Alessio and Chisci, Luigi, Improved estimation for object localization via sensor networks, Networking, Sensing and Control, 2007 IEEE International Conference on, London, (UK), 2007, pp302--306
Benavoli, Alessio and Chisci, Luigi and Di Lallo, Annarita and Farina, Alfonso and Fulcoli, Riccardo and Mancinelli, Riccardo and Timmoneri, Luca, Design and development of a signal and data processor test bed for a passive radar in the FM band, Radar Systems, 2007 IET International Conference on, Edinburgh, (UK), 2007, pp1--5
Benavoli, Alessio; Chisci, Luigi; Farina, Alfonso; Ortenzi, Luciana; Zappa, Giovanni, Hard-Constrained versus Soft-Constrained Parameter Estimation, Aerospace and Electronic Systems, IEEE Transactions on, 42, 2006, p1224-1239
Benavoli, Alessio; Chisci, Luigi; Farina, Alfonso; Immediata, Sandro; Timmoneri, Luca; Zappa, Giovanni, Knowledge-Based System for Multi-Target Tracking in a Littoral Environment, IEEE Trans. Aerospace and Electronic Systems, 42, 2006, p1100-1119
Non-Peer-Reviewed Publications
Alessio Benavoli and Dario Azzmonti, 'prefGP, a Gaussian process based library for learning from preference and choice data', 2026, -
Alessio Benavoli and Felix Binder, 'qWiener, a library for quantum reservoir computing', 2026, -
Alessio benavoli, Marco Forgione, Dario Piga, 'dynoDeepGP, a novel approach to system identification in dynamical systems using a specialised class of Deep Gaussian Processes', 2025, -
Alessio benavoli and Dario Azzimonti, 'ChoiceGP, Python implementation of a Gaussian Process model to learn choice functions from choice-data', 2024, -
Alessio Benavoli and Dario Azzimonti, 'SkewGP, a unified framework for closed-form nonparametric regression, classification, preference and mixed problems', 2021, -
Alessio Benavoli and Alessandro Facchini and Marco Zaffalon, Computational Complexity and the Nature of Quantum Mechanics (Extended version), 2019
Bayesian Nonparametrics in, International Journal of Approximate Reasoning, Elsevier, 2017
Alessio Benavoli, Giorgio Corani, Janez Demsar, 'Baycomp, a library for Bayesian comparison of classifiers.', 2017, -
Alessio Benavoli and Marco Zaffalon, State Space representation of non-stationary Gaussian Processes, 2016
Research Expertise
Projects
- Title
- Securing Machine Learning from Threats Exploiting Unused Model Parameters
- Summary
- Applications are increasingly leveraging Deep Neural Networks (DNNs) to provide state-of-the-art per- formance on a wide range of real-life problems. With the success Large Language Models (LLMs), new generations of larger models are expected to become central to many systems that are integrated into hu- man spaces and that permeate everyday life. The virtues of over-parameterization have been established from both the statistical and computational perspectives. However, this overparameterization leaves a large number of parameters that are not essen- tial to the learned model and whose state is not important (they are "don"t cares"). In both software and hardware systems, undefined behavior and don"t-care states have been shown to be potential sources of vulnerabilities. In the same vein, we believe that unused parameters (UPs) represent undefined behavior and don"t-care states with respect to the primary model that can be exploited by attackers. Because of the substantially different nature of machine learning models, this undefined behavior manifests differently: as extra capacity used to store information covertly, or as extra functionality to support unintended behavior when triggered. The goal of this project is to understand the security and privacy implications of the unused param- eters present in machine learning models. The research explores fundamental questions and algorithmic innovations for a class of machine learning exploits that targets the available spare capacity in overparameterized models. We explore the problem both from the theoretical and empirical perspectives. We also aim to explore these ideas and threat models in the context of other learning models including federated learning, and generative models. Finally, we also aim to study potential mitigation, both those relying on detection as well as elimination of malicious embedded data or functionality. The attacks and optimizations, theoretical models and their analyses, generalizations and end-to-end attacks and proposed mitigations represent the intellectual merit of the project.
- Funding Agency
- Research Ireland
- Date From
- 01/01/2026
- Date To
- 31/12/2028
- Title
- Re-Make
- Summary
- The Re-Make project, coordinated by Politecnico di Milano, aims to implement, monitor, and characterize a bespoke sustainable high-performance repair and Additive Manufacturing (AM) technology based on solid state deposition. The project seeks to achieve functional products through a multi-faceted approach that combines multi-scale computational modelling with advanced experimental, analytical techniques, and data-driven approaches. Extensive background research has led to the definition 11 Doctoral candidates that will accomplish Re-Make"s plan through a list of realistically measurable and verifiable Research and Training Objectives. Here at Trinity College, we developed the DC2 program, for the development of a new experimental set-up for impact high-speed visualizations with a high-speed camera. The findings of DC2 will provide with a deeper understanding of the impact process and the key particle/substrate interactions for a wide range of materials, and will allow to resolve in real-time the plastic and elastic deformation process during Cold Spray (CS).
- Funding Agency
- European Union Horizon Europe research and innovation programme
- Date From
- 01/10/2023
- Date To
- 30/09/2027
- Title
- Humans-in-the-Loop towards a more effective AI in manufacturing
- Summary
- The adoption of Artificial Intelligence (AI) for Process Optimisation (PO) in manufacturing can significantly contribute to make the Irish manufacturing sector more competitive and sustainable. However, its adoption has been slower than expected. Looking at the way AI is being used in PO, the issue is the need of tailoring AI-solutions for every machine tool and context (used material, shape of the manufactured object). With this approach, the industry will need tens of thousands of unique AI- models, which is clearly infeasible. Instead of developing an AI-solution for each machine tool and context, HLOOP proposes to build a single AI-model exploiting the synergy between AI and human-workers. Assessing the quality of the manufacturing process is more effectively done by humans than AI, while AI is better at dealing with high-dimensional decision problems. We plan to use the feedback of machine operators to train on-the-fly (that is without using any pre-collected dataset) and in real-time an AI-model that can predict when the manufacturing process is good/bad, and then optimise it. https://hloop.scss.tcd.ie/
- Funding Agency
- Research Ireland
- Date From
- 01/01/2023
- Date To
- 30/06/2024
- Title
- Data analytics for the development of smart infusion pumps
- Funding Agency
- SFI-Confirm and the company BD
- Date From
- 01/06/2021
- Date To
- 01/06/2023
- Title
- Causality in timeseries
- Funding Agency
- Research Ireland Centre for Research Training in Artificial Intelligence