Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features. - Vasilis Krokos; Viet Bui Xuan; Stéphane P. A. Bordas; Philippe Young; Pierre Kerfriden (CoRR, 2020)

A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials. - Vasilis Krokos; Stéphane P. A. Bordas; Pierre Kerfriden (CoRR, 2022)