Hoang Son Tran

According to our database, Hoang Son Tran authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

Negative Dependence as a toolbox for machine learning : review and new developments.

Hoang Son Tran, Vladimir Petrovic, Rémi Bardenet, Subhroshekhar Ghosh

CoRR, February, 2025

2024

Small coresets via negative dependence: DPPs, linear statistics, and concentration.

Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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., April, 2023

Learning Networks from Gaussian Graphical Models and Gaussian Free Fields.

Subhro Ghosh, Soumendu Sundar Mukherjee, Hoang Son Tran, Ujan Gangopadhyay

CoRR, 2023

2022

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

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering, 2022