ALEARDI, MATTIA Statistiche
ALEARDI, MATTIA
DIPARTIMENTO DI SCIENZE DELLA TERRA
Annealed stein variational gradient descent for improved uncertainty estimation in full-waveform inversion
2025-01-01 Corrales, M.; Berti, Sean; Denel, B.; Williamson, P.; Aleardi, Mattia; Ravasi, M.
Bayesian full waveform inversion of surface waves with annealed stein variational gradient descent
2025-01-01 Berti, Sean.; Ravasi, M.; Aleardi, M.; Stucchi, E.
Integrating deep learning and discrete cosine transform for surface waves full-waveform inversion
2025-01-01 Felipe, Rincon; Berti, Sean; Aleardi, M.; Tognarelli, Andrea; Stucchi, E.
Physics-guided deep-learning direct current-resistivity inversion with uncertainty quantification
2025-01-01 Felipe, Rincon; Aleardi, M.; Tognarelli, Andrea; Stucchi, E.
A Bayesian approach to elastic full-waveform inversion: application to two synthetic near surface models
2024-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A probabilistic full waveform inversion of surface waves
2024-01-01 Berti, Sean; Aleardi, M.; Stucchi, E.
Physics-guided deep learning DC-resistivity inversion with uncertainty quantification
2024-01-01 Rincon, F.; Aleardi, M.; Tognarelli, A.; Stucchi, E.
Stochastic inversion of time-lapse electrical resistivity tomography data by means of an adaptive ensemble-based approach
2024-01-01 Vinciguerra, A.; Aleardi, M.; Madsen, L. M.; Bording, T. S.; Christiansen, A. V.; Stucchi, E.
A Bayesian approach to elastic Full-Waveform inversion: application to a semi-real near surface model
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A Bayesian Approach To Elastic Full-waveform inversion: Application to a synthetic dataset
2023-01-01 Berti, Sean; Aleardi, Mattia; Stucchi, Eusebio
A computationally efficient Bayesian approach to full-waveform inversion
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A computationally efficient probabilistic full waveform inversion: application to the BP model
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
Machine Learning to approximate the objective function in a global inversion of ERT data
2023-01-01 Macelloni, Fabio; Aleardi, Mattia; Stucchi, Eusebio
Objective function approximation through machine learning: application to a global inversion of ERT data
2023-01-01 Macelloni, F.; Aleardi, M.; Stucchi, E. M.
Supervised neural network for surface waves data-driven Vs-model prediction
2023-01-01 Felipe, Rincon; Berti, Sean; Aleardi, M.; Stucchi, E.
A Bayesian Approach To Full-waveform inversion: Preliminary Results
2022-01-01 Berti, Sean; Aleardi, Mattia; Stucchi, Eusebio
A Convolutional Neural Network-Monte Carlo approach for petrophysical seismic inversion
2022-01-01 Aleardi, Mattia; De Biasi, Cinzia
A Stochastic Ensemble Based approach for Time-Lapse ERT inversion
2022-01-01 Vinciguerra, A.; Aleardi, M.; Madsen, L. M.; Bording, T. S.; Christiansen, A. V.; Stucchi, E.
Application of a global–local full‐waveform inversion of Rayleigh wave to estimate the near‐surface shear wave velocity model
2022-01-01 Lamuraglia, Salvatore; Stucchi, Eusebio; Aleardi, Mattia
Applications of seismic AVA inversions for petrophysical characterization of subsurface targets
2022-01-01 Mazzotti, A.; Aleardi, M.