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

Low-Leakage 6T SRAM Cell for In-Memory Computing with High Stability

Deniz Najafi - Behzad Ebrahimi

Performance improvement of automated parking by considering road incline and wheel slippage

Ali Anisi - Moosa Ayati - Yassin Riyazi - Ali Asadian

بررسی و مدلسازی اثرات نویز فاز پالس ساعت بر عملکرد تقویت کننده صوتی کلاس D سمعک ها

محمد مهدی احمدی - محدثه امیریان چایجان

Conversion of Linear Polarized Light-to-Orbital Angular Momentum with Variable Topological Charges, Using the Surface Plasmons of Elliptical Holes Etched in a Gold Layer

Amir Mohammad Ghanei - Abolfazl Aghili - Sara Darbari

Study of Plasmonic Perfect Absorber Using Three Dimensional Silver Double Triangle-Shaped Nanoparticles

Mohammad Reza Rakhshani

Experimental Study and Implementation of a Generalized Predictive Controller on Delta Parallel Robot Based on Actuator Identification

Hasan Jalali - Behnam Moradkhani - Hossein Damavandi - Mehdi Tale Masouleh - Ahmad Kalhor

Using the Artificial Bee Colony (ABC) Algorithm in Collaboration with the Fog Nodes in the Internet of Things Three-layer Architecture

Shakoor Vakilian - Seyed Vahid Moravvej - Ali Fanian

Design Comparison of BLDC and SR Motor Drives for Range Hood Applications

Aghil Ghaheri - Reza Naghash - Akbar Mohammadi Ajamloo - Ebrahim Afjei

A New Gradient Driver with only a Single DC Voltage Source For Using In MRI Systems

Amirabbas Naghipour Shahrbabaki - Reza Beiranvand

A Barrier Function Based Feedback Linearization Method for On-line Output Tracking Control of Non-minimum Phase Systems

Fatemeh Jahangiri - Ali Talebi - Mohammad Bagher Menhaj

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.2