Dai Hai Nguyen

Mach. Learn., September, 2024

2023

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

[BibT_eX]

[DOI]

Koji Tsuda

Pattern Recognit., June, 2023

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

[BibT_eX]

[DOI]

Mach. Learn., 2023

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

Mach. Learn., 2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Koji Tsuda

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

Hang Nguyen Thi Nhat

Ngoc Thuy Trang Le

Nguyen Thi Phuong Phong

Minh-Tri Nguyen-Le

Sensors, 2020

2019

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

[BibT_eX]

[DOI]

Bioinform., 2019

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

[BibT_eX]

[DOI]

Briefings Bioinform., 2019

2018

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

[BibT_eX]

[DOI]