10 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2017★ 5 cited
Probabilistic Generative Adversarial Networks
Hamid Eghbal-zadeh, Gerhard Widmer
We introduce the Probabilistic Generative Adversarial Network (PGAN), a new GAN variant based on a new kind of objective function. The central idea is to integrate a probabilistic…
cs.LG2017★ 10 cited
Likelihood Estimation for Generative Adversarial Networks
Hamid Eghbal-zadeh, Gerhard Widmer
We present a simple method for assessing the quality of generated images in Generative Adversarial Networks (GANs). The method can be applied in any kind of GAN without interfering…
cs.SD2017
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer +1
In Acoustic Scene Classification (ASC) two major approaches have been followed . While one utilizes engineered features such as mel-frequency-cepstral-coefficients (MFCCs), the oth…