Improving item cold-start recommendation via model-agnostic conditional variational autoencoder
Embedding & MLP has become a paradigm for modern large-scale recommendation
system. However, this paradigm suffers from the cold-start problem which will seriously …
system. However, this paradigm suffers from the cold-start problem which will seriously …
A review on deep learning autoencoder in the design of next-generation communication systems
Traditional mathematical models used in designing next-generation communication systems
often fall short due to inherent simplifications, narrow scope, and computational limitations …
often fall short due to inherent simplifications, narrow scope, and computational limitations …
QML-IB: Quantized Collaborative Intelligence between Multiple Devices and the Mobile Network
J Peng, B Ren, L Yang, C Peng… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and mobile networks is regarded as one of the
most important scenarios for 6G. In 6G, a major objective is to realize the efficient …
most important scenarios for 6G. In 6G, a major objective is to realize the efficient …
[PDF][PDF] A Hybrid Autoencoder Quantum Neural Networks for Optimized Wireless Communication
T Jamaluddin, SY Shin - journal-home.s3.ap-northeast-2 …
This study aims to employ a model of hybrid autoencoder quantum neural network (HAQNN)
is purposed to optimize the precoding in multiple-input and multiple-output (MIMO) in …
is purposed to optimize the precoding in multiple-input and multiple-output (MIMO) in …