Hoang Son Tran

According to our database, Hoang Son Tran authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives.

Hoang Son Tran, Pranav Gupta, Rémi Bardenet, Subhroshekhar Ghosh

CoRR, May, 2026

Capabilities of Auto-encoders and Principal Component Analysis of the Reduction of Microstructural Images; Application on the Acceleration of Phase-Field Simulations.

Seifallah Fetni, Thinh Duc Quy Pham, Truong-Vinh Hoang, Hoang Son Tran, Laurent Duchêne, Xuan Van Tran, Anne Marie Habraken

CoRR, May, 2026

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 37: 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