Dai Hai Nguyen

Orcid: 0000-0003-3501-7390

According to our database1, Dai Hai Nguyen authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On a linear fused Gromov-Wasserstein distance for graph structured data.
Pattern Recognit., June, 2023

Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains.
Mach. Learn., 2023

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.
CoRR, 2023

Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems.
CoRR, 2023

2022
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent.
CoRR, 2022

2021
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.
Mach. Learn., 2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.
CoRR, 2021

A generative model for molecule generation based on chemical reaction trees.
CoRR, 2021

2020
Potential Application of Gold Nanospheres as a Surface Plasmon Resonance Based Sensor for In-Situ Detection of Residual Fungicides.
Sensors, 2020

2019
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra.
Bioinform., 2019

Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.
Briefings Bioinform., 2019

2018
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra.
Bioinform., 2018


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