8 citations · 10 across the 4 of their papers we have counts for
4 papers
Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication
Zsolt I. Tabi, Bence Bakó, Dániel T. R. Nagy +4
This paper presents a comprehensive study on the possible hybrid quantum-classical autoencoder architectures for end-to-end radio communication against noisy channel conditions usi…
Evaluating Neighbor Explainability for Graph Neural Networks
Oscar Llorente, Rana Fawzy, Jared Keown +6
Explainability in Graph Neural Networks (GNNs) is a new field growing in the last few years. In this publication we address the problem of determining how important is each neighbo…
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication
Zsolt Tabi, Bence Bakó, Dániel T. R. Nagy +4
Quantum neural networks are emerging as potential candidates to leverage noisy quantum processing units for applications. Here we introduce hybrid quantum-classical autoencoders fo…
On the Propagation of Congestion Waves in the Internet
Jozsef Steger, Peter Vaderna, Gabor Vattay
Traffic modeling of communication networks such as Internet has become a very important field of research. A number of interesting phenomena are found in measurements and traffic s…