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cs.LG2021
VARGAN: Variance Enforcing Network Enhanced GAN
Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar
Generative adversarial networks (GANs) are one of the most widely used generative models. GANs can learn complex multi-modal distributions, and generate real-like samples. Despite…
cs.LG2020
An empirical study on using CNNs for fast radio signal prediction
Ozan Ozyegen, Sanaz Mohammadjafari, Karim El mokhtari +3
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We em…