کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Improved Generative Adversarial Network with Differentiable KS Distance

نویسندگان :

Siavash Sadeghi Ivrigh¹ Mohammadreza Hassannejad Bibalan² Asghar Keshtkar³

1- دانشگاه بین‌المللی امام خمینی (ره) 2- دانشگاه بین‌المللی امام خمینی (ره) 3- دانشگاه بین‌المللی امام خمینی (ره)

کلمات کلیدی :

GANs،KS distance،Sigmoid activation function،Deep learning،Machine learning

چکیده :

Generative adversarial networks (GANs) have emerged as a powerful framework for generating realistic data. However, evaluating the quality of generated samples remains a challenging task. This paper introduces a novel metric for evaluating GANs based on the Kolmogorov-Smirnov (KS) distance. The KS distance is a robust statistical measure to assess the similarity between two probability distributions. To efficiently compute the KS distance, we propose a novel approach that leverages the sigmoid activation function in the final layer of the discriminator. By carefully tuning the weights of this layer, we can approximate the KS distance between the real and generated data distributions. This approach offers a more efficient and effective way to evaluate GAN performance, leading to improved training and better-quality generated samples.

لیست مقالات

لیست مقالات بایگانی شده

An LMI-based Robust Fuzzy Controller for Blood Glucose Regulation in Type 1 Diabetes

Mohammadreza Ganji Arjenaki - Mahdi Pourgholi

بهبود تخمین واریانس نویز با بهره گیری از واریانس تغییرات سیگنال

مجید دهقانیزاده - مسعودرضا آقابزرگی

A Transformerless Single-Switch DC-DC Boost Converter Suitable for Renewable Energy Applications

Saed Mahmoud Alilou - Sasan Ahmadi - Mohammad Maalandish - Seyed Hossein Hosseini

A New Method on Failure Detection of Fixed and Moving Contacts of Circuit Breakers

Hassan Hamidi - Ali Asghar Razi Kazemi

طراحی تنظیم‌کننده‌ی خروجی بهینه‌ی مبتنی بر یادگیری تقویتی ایمن با استفاده از تابع مانع کنترلی نمایی

سیدرضا اصغری - سعید شمقدری

Design and Analysis of Concentrated Field TFPM Generator for Direct-Drive Wind Turbines

Maryam Salehi - Ahmad Darabi - Aghil Ghaheri - Mohammad Hoseintabar Marzebali

Distributed Deep Reinforcement Learning for Radio Resource Management in O-RAN

Ahmad Ahmadi Siahpoush - Vahid Shah-Mansouri

Object Detection enhancement based on Super-Resolution Mapping

Danial Abyazi - Dadfar Abyazi - Mehran Yazdi

Optimal Scheduling of Active Distribution Networks with High Penetration of Plug-in Electric vehicles and Renewables Using Grasshopper Optimization Algorithm

Seyyed Hadi Mousavi - Varahram Janatifar - Arya Abdolahi - Mitra Sarhangzadeh

A New Unsupervised Feature Learning Method for Object Recognition using Prior-Knowledge Data

Ashkan Farrokhi - Hadi Seyedarabi

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.3.1