Dai Hai Nguyen

According to our database, Dai Hai Nguyen authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization.

Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.

Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems.

Dai Hai Nguyen, Tetsuya Sakurai

Mach. Learn., September, 2024

2023

On a linear fused Gromov-Wasserstein distance for graph structured data.

Dai Hai Nguyen, Koji Tsuda

Pattern Recognit., June, 2023

Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains.

Dai Hai Nguyen, Tetsuya Sakurai

Mach. Learn., 2023

2022

A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent.

Dai Hai Nguyen, Tetsuya Sakurai

CoRR, 2022

2021

Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.

Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

Mach. Learn., 2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.

Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

CoRR, 2021

A generative model for molecule generation based on chemical reaction trees.

Dai Hai Nguyen, Koji Tsuda

CoRR, 2021

2020

Potential Application of Gold Nanospheres as a Surface Plasmon Resonance Based Sensor for In-Situ Detection of Residual Fungicides.

Hang Nguyen Thi Nhat, Ngoc Thuy Trang Le, Nguyen Thi Phuong Phong, Dai Hai Nguyen, Minh-Tri Nguyen-Le

Sensors, 2020

2019

ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra.

Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

Bioinform., 2019

Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.

Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

Briefings Bioinform., 2019

2018

SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra.

Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

Bioinform., 2018