Tuyen Trung Truong

Orcid: 0000-0001-9103-0923

According to our database1, Tuyen Trung Truong authored at least 23 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Backtracking New Q-Newton's method, Newton's flow, Voronoi's diagram and Stochastic root finding.
CoRR, 2024

2023
A Fast and Simple Modification of Newton's Method Avoiding Saddle Points.
J. Optim. Theory Appl., November, 2023

Deep learning and computer vision techniques for microcirculation analysis: A review.
Patterns, January, 2023

Backtracking New Q-Newton's method, Schröder's theorem, and Linear Conjugacy.
CoRR, 2023

Creating walls to avoid unwanted points in root finding and optimization.
CoRR, 2023

2022
Backtracking New Q-Newton's method: a good algorithm for optimization and solving systems of equations.
CoRR, 2022

Some interesting birational morphisms of smooth affine quadric 3-folds.
CoRR, 2022

Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review.
CoRR, 2022

CapillaryX: A Software Design Pattern for Analyzing Medical Images in Real-time using Deep Learning.
CoRR, 2022

CapillaryNet: An automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopy.
Artif. Intell. Medicine, 2022

2021
A more direct and better variant of New Q-Newton's method Backtracking for m equations in m variables.
CoRR, 2021

Generalisations and improvements of New Q-Newton's method Backtracking.
CoRR, 2021

New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation.
CoRR, 2021

CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy.
CoRR, 2021

2020
Unconstrained optimisation on Riemannian manifolds.
CoRR, 2020

Asymptotic behaviour of learning rates in Armijo's condition.
CoRR, 2020

A modification of quasi-Newton's methods helping to avoid saddle points.
CoRR, 2020

Coordinate-wise Armijo's condition: General case.
CoRR, 2020

Some convergent results for Backtracking Gradient Descent method on Banach spaces.
CoRR, 2020

Backtracking Gradient Descent allowing unbounded learning rates.
CoRR, 2020

2019
Coordinate-wise Armijo's condition.
CoRR, 2019

Convergence to minima for the continuous version of Backtracking Gradient Descent.
CoRR, 2019

2018
Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning.
CoRR, 2018


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