0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Improved Generative Adversarial Network with Differentiable KS Distance
نویسندگان :
Siavash Sadeghi Ivrigh
1
Mohammadreza Hassannejad Bibalan
2
Asghar Keshtkar
3
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
A New Optimal Design of a Solar Power Plant On The Rooftop of Bovisa Train Station in Milan
Omid Nasirkhani - Mohsen Tamaddon
Design and Simulation of Axial Flux Permanent Magnet Electrical Machine for Electric Vehicles Application
Hamid Radmanesh - Reza Sharifi
A Digital Method for Offset Cancellation of Fully Dynamic Latched Comparators
Alireza Ahrar - Mohammad Yavari
Zero control effort approach to perturbed coupled orbit-attitude periodic solution at three-body problem: Earth-Mars system
Amirreza Kosari - Ehsan Abbasali - Majid Bakhtiari
Clustering of Fuzzy Data Based on Particle Swarm Optimization
Najme Ghanbari - Seyed-hamid Zahiri - Hadi Shahraki
A New Model of Interleaved Boost CF-CLLC Integrated Resonant Converter with Fixed-Frequency PWM Control for Renewable Energy Applications in Fuel Cell and Battery-Powered Electric Vehicles
Mina Taheri - Hossein Askariyan Abyane
Stability Improvement in Weak Grid-Tied DFIG-based WECS Employing Adaptive Virtual Impedance Strategy Based on Machine Learning Considering the LVRT Constraint
Mohammad Hossein Shaabani - Behrooz Vahidi - Navid Dehghan
Ground-based Power Line Sag Measurement by Combining Data from a Smartphone and a Laser Rangefinder
Mohammad Javad Abdollahifard - Reza Bahrami
A Linear Position Sensor Proposal by Development of a Variable Reluctance Linear Resolver
Arman Ramezannezhad - Peyman Naderi - Lieven Vandevelde
Higher Derivatives Extremum Seeking with Very Slow/ Drifting Sensor
Farzaneh Karimi - Mohsen Mojiri
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2