output
20062025
most citedBound on Hardy's non-locality from the principle of Information Causality

25 citations

17 papers

stat.ML2025

Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective

Hiroshi Horii, Sothea Has

Stochastic gradient descent (SGD), one of the most fundamental optimization algorithms in machine learning (ML), can be recast through a continuous-time approximation as a Fokker-P…

astro-ph.EP2019★ 15 cited

Light Curve Analysis of Ground-Based Data from Exoplanets Transit Database

F. Davoudi, S. J. Jafarzadeh, A. Poro +9

Photometric observations of exoplanet transits can be used to derive the orbital and physical parameters of an exoplanet. We analyzed several transit light curves of exoplanets tha…

cs.NE2016★ 7 cited

The new hybrid COAW method for solving multi-objective problems

Zeinab Borhanifar, Elham Shadkam

In this article using Cuckoo Optimization Algorithm and simple additive weighting method the hybrid COAW algorithm is presented to solve multi-objective problems. Cuckoo algorithm…

cs.NE2015★ 18 cited

A hybrid COA-constraint method for solving multi-objective problems

Mahdi parvizi, Elham Shadkam, Niloofar Jahani

In this paper, a hybrid method for solving multi-objective problem has been provided. The proposed method is combining the ε-Constraint and the Cuckoo algorithm. First the multi ob…

math.OC2015★ 9 cited

A hybrid COA-DEA method for solving multi-objective problems

Mahdi Gorjestani, Elham Shadkam, Mehdi Parvizi +1

The Cuckoo optimization algorithm (COA) is developed for solving single-objective problems and it cannot be used for solving multi-objective problems. So the multi-objective cuckoo…

math.OC2015★ 6 cited

Portfolio selection by the means of cuckoo optimization algorithm

Elham Shadkam, Reza Delavari, Farzad Memariani +1

Portfolio selection is one of the most important and vital decisions that a real or legal person, who invests in stock market should make. The main purpose of this paper is the det…