Dai Hai Nguyen | DeepAI

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Featured Co-authors

Tetsuya Sakurai
21 publications
Koji Tsuda
16 publications
Hiroshi Mamitsuka
11 publications
Canh Hao Nguyen
5 publications

∙ 07/31/2023

Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems

We consider a general optimization problem of minimizing a composite obj...

0 Dai Hai Nguyen, et al. ∙

∙ 08/01/2022

A Particle-Based Algorithm for Distributional Optimization on Constrained Domains via Variational Transport and Mirror Descent

We consider the optimization problem of minimizing an objective function...

10 Dai Hai Nguyen, et al. ∙

∙ 03/09/2022

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

We present a framework for embedding graph structured data into a vector...

4 Dai Hai Nguyen, et al. ∙

∙ 06/12/2021

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

Motivation: Recent success in metabolite identification from tandem mass...

0 Dai Hai Nguyen, et al. ∙

∙ 06/12/2021

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

Motivation: Metabolite identification is an important task in metabolomi...

1 Dai Hai Nguyen, et al. ∙

∙ 06/08/2021

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels

Graph is an usual representation of relational data, which are ubiquitou...

12 Dai Hai Nguyen, et al. ∙

∙ 06/07/2021

A generative model for molecule generation based on chemical reaction trees

Deep generative models have been shown powerful in generating novel mole...

23 Dai Hai Nguyen, et al. ∙

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