Material parameter identification for clinching process simulation using neural network metamodels. - Duc Vinh Nguyen; Pai-Chen Lin; Minh Chien Nguyen; Yang-Jiu Wu; Hoang Son Tran; Xuan Van Tran (RICE, 2022)

Learning Networks from Gaussian Graphical Models and Gaussian Free Fields. - Subhro Ghosh; Soumendu Sundar Mukherjee; Hoang Son Tran; Ujan Gangopadhyay (CoRR, 2023)

Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning. - Thinh Duc Quy Pham; Truong-Vinh Hoang; Xuan Van Tran; Quoc Tuan Pham; Seifallah Fetni; Laurent Duchêne; Hoang Son Tran; Anne Marie Habraken (J. Intell. Manuf., 2023)

Small coresets via negative dependence: DPPs, linear statistics, and concentration. - Rémi Bardenet; Subhroshekhar Ghosh; Hugo Simon-Onfroy; Hoang Son Tran (NeurIPS, 2024)

Negative Dependence as a toolbox for machine learning : review and new developments. - Hoang Son Tran; Vladimir Petrovic; Rémi Bardenet; Subhroshekhar Ghosh (CoRR, 2025)