Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. - Stefano Castruccio; Marc G. Genton (Technometrics, 2016)

Smartphone Continuous Authentication Using Deep Learning Autoencoders. - Mario Parreño Centeno; Aad van Moorsel; Stefano Castruccio (PST, 2017)

Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation. - Matthew Edwards; Stefano Castruccio; Dorit Hammerling (Comput. Stat. Data Anal., 2020)

Improving Bayesian Local Spatial Models in Large Datasets. - Amanda Lenzi; Stefano Castruccio; Håvard Rue; Marc G. Genton (J. Comput. Graph. Stat., 2021)

Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators. - Sameh Abdulah; Allison H. Baker; George Bosilca; Qinglei Cao; Stefano Castruccio; Marc G. Genton; David E. Keyes; Zubair Khalid; Hatem Ltaief; Yan Song; Georgiy L. Stenchikov; Ying Sun 002 (SC, 2024)

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations. - Kesen Wang; Minwoo Kim; Stefano Castruccio; Marc G. Genton (CoRR, 2024)

A neural network-based adaptive cut-off approach to normality testing for dependent data. - Minwoo Kim; Marc G. Genton; Raphaël Huser; Stefano Castruccio (Stat. Comput., 2025)

A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations. - Luca Menicali; Andrew Grace; David H. Richter; Stefano Castruccio (CoRR, 2025)