Machine learning for communications

Model-based vs. Data-driven Approaches for Predicting Rain-induced Attenuation in Commercial Microwave Links: A Comparative Empirical Study

Bit Error and Block Error Rate Training for ML-Assisted Communication

Delay-aware Backpressure Routing Using Graph Neural Networks

Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning

DEEP-UNFOLDED ADAPTIVE PROJECTED SUBGRADIENT METHOD FOR MIMO DETECTION

Predicting Brain Age using Transferable CoVariance Neural Networks

Variational Inference Aided Estimation of Time Varying Channels

Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar

Machine Learning-Aided Piece-wise Modeling Technique of Power Amplifier for Digital Predistortion

ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks

A Causal Convolutional Approach for Packet Loss Concealment in Low Powered Devices

INVERSE REINFORCEMENT LEARNING WITH GRAPH NEURAL NETWORKS FOR IOT RESOURCE ALLOCATION