Matteo Diez

According to our database, Matteo Diez authored at least 23 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Democratizing Uncertainty Quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

CoRR, 2024

2023

A multi-fidelity active learning method for global design optimization problems with noisy evaluations.

Riccardo Pellegrini, Jeroen Wackers, Riccardo Broglia, Andrea Serani, Michel Visonneau, Matteo Diez

Eng. Comput., October, 2023

Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

Eng. Comput., 2023

2022

Analytical Benchmark Problems for Multifidelity Optimization Methods.

Laura Mainini, Andrea Serani, Markus P. Rumpfkeil, Edmondo A. Minisci, Domenico Quagliarella, Hayriye Pehlivan Solak, Sihmehmet Yildiz, S. Ficini, Riccardo Pellegrini, Francesco Di Fiore, Dean E. Bryson, Melike Nikbay, Matteo Diez, Phil Beran

CoRR, 2022

Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments.

Shahroz Khan, Panagiotis D. Kaklis, Andrea Serani, Matteo Diez, Konstantinos V. Kostas

Comput. Aided Des., 2022

Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation.

Shahroz Khan, Panagiotis D. Kaklis, Andrea Serani, Matteo Diez

Comput. Aided Des., 2022

2021

Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State.

Danny D'Agostino, Andrea Serani, Frederick Stern, Matteo Diez

CoRR, 2021

Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+.

Cecilia Leotardi, Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso

Appl. Soft Comput., 2021

2020

Computational Approaches for Uncertainty Quantification of Naval Engineering Problems.

Riccardo Broglia, Matteo Diez, Lorenzo Tamellini

ERCIM News, 2020

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

CoRR, 2020

2018

A multi-objective DIRECT algorithm for ship hull optimization.

Emilio Fortunato Campana, Matteo Diez, Giampaolo Liuzzi, Stefano Lucidi, Riccardo Pellegrini, Veronica Piccialli, Francesco Rinaldi, Andrea Serani

Comput. Optim. Appl., 2018

Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods.

Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017

Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization.

Riccardo Pellegrini, Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Matteo Diez

Appl. Soft Comput., 2017

Dolphin Pod Optimization.

Andrea Serani, Matteo Diez

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design.

Andrea Serani, Matteo Diez

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch.

Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio Fortunato Campana, Umberto Iemma, Matteo Diez

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization.

Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016

Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems.

Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Giovanni Fasano, Matteo Diez

Appl. Soft Comput., 2016

Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+.

Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Multi-fidelity Adaptive global metamodel of expensive computer simulations.

Riccardo Pellegrini, Umberto Iemma, Cecilia Leotardi, Emilio Fortunato Campana, Matteo Diez

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques.

Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Daniele Peri, Umberto Iemma

Proceedings of the Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015

2014

A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit.

Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove

Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013

Initial Particles Position for PSO, in Bound Constrained Optimization.

Emilio Fortunato Campana, Matteo Diez, Giovanni Fasano, Daniele Peri

Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013