output
20112022
most citedMachine Learning in NextG Networks via Generative Adversarial Networks

58 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2022★ 58 cited

Machine Learning in NextG Networks via Generative Adversarial Networks

Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu

Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have the ability to address competitive resource allocation problems together with detection and mi…

cs.LG2021

Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning

Xueyuan Wang, M. Cenk Gursoy, Tugba Erpek +1

Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks. In this paper, we aim to find collision-free paths for multiple cellular-connected UAVs, w…

cs.LG2018★ 3 cited

Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls

Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu +1

Machine learning has been applied to a broad range of applications and some of them are available online as application programming interfaces (APIs) with either free (trial) or pa…