Resilience in urban networked infrastructure: the case of Water Distribution Systems. - Antonio Candelieri; Ilaria Giordani; Andrea Ponti; Francesco Archetti (CoRR, 2020)

Modelling human active search in optimizing black-box functions. - Antonio Candelieri; Riccardo Perego; Ilaria Giordani; Andrea Ponti; Francesco Archetti (Soft Comput., 2020)

Data efficient learning of implicit control strategies in Water Distribution Networks. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CASE, 2021)

Risk aware optimization of water sensor placement. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (GECCO Companion, 2021)

Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization. - Andrea Ponti; Antonio Candelieri; Francesco Archetti (LION, 2021)

Probabilistic measures of edge criticality in graphs: a study in water distribution networks. - Andrea Ponti; Antonio Candelieri; Ilaria Giordani; Francesco Archetti (Appl. Netw. Sci., 2021)

Multi-Task Learning on Networks. - Andrea Ponti (CoRR, 2021)

Gamifying optimization: a Wasserstein distance-based analysis of human search. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2021)

A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. - Andrea Ponti; Antonio Candelieri; Francesco Archetti (Intell. Syst. Appl., 2021)

Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2022)

Bayesian Optimization in Wasserstein Spaces. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2022)

Network Vulnerability Analysis in Wasserstein Spaces. - Andrea Ponti; Antonio Irpino; Antonio Candelieri; Anna Bosio; Ilaria Giordani; Francesco Archetti (LION, 2022)

Explaining Exploration-Exploitation in Humans. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Big Data Cogn. Comput., 2022)

The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. - Andrea Ponti; Ilaria Giordani; Matteo Mistri; Antonio Candelieri; Francesco Archetti (Big Data Cogn. Comput., 2022)

BORA: Bayesian Optimization for Resource Allocation. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2022)

Generative Models via Optimal Transport and Gaussian Processes. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2023)

A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance. - Andrea Ponti; Ilaria Giordani; Antonio Candelieri; Francesco Archetti (LION, 2023)

Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (NUMTA (1), 2023)

The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms. - Andrea Ponti; Francesco Archetti (NUMTA (1), 2023)

A Bayesian approach for prompt optimization in pre-trained language models. - Antonio Sabbatella; Andrea Ponti; Antonio Candelieri; Ilaria Giordani; Francesco Archetti (CoRR, 2023)

Uncertainty quantification and exploration-exploitation trade-off in humans. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

Wasserstein enabled Bayesian optimization of composite functions. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

Distributional learning in multi-objective optimization of recommender systems. - Antonio Candelieri; Andrea Ponti; Ilaria Giordani; Anna Bosio; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty. - Antonio Candelieri; Andrea Ponti; Ilaria Giordani; Francesco Archetti (Ann. Math. Artif. Intell., 2023)

A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2024)

A Bayesian Approach for Prompt Optimization in LLMs. - Antonio Sabbatella; Andrea Ponti; Ilaria Giordani; Francesco Archetti (LION, 2024)

Graph data augmentation with Gromow-Wasserstein Barycenters. - Andrea Ponti (CoRR, 2024)

Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures. - Antonio Sabbatella; Andrea Ponti; Antonio Candelieri; Francesco Archetti (Mach. Learn. Knowl. Extr., 2024)

Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Mach. Learn., 2024)

Bayesian optimization over the probability simplex. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Ann. Math. Artif. Intell., 2025)

Wasserstein Barycenter Gaussian Process based Bayesian Optimization. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2025)

Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Glob. Optim., 2025)