Reproduce “Lightweight PCGAE-Net: Parallel CrossGate Attention and Bottleneck AutoEncoder for Efficient 5G Channel Prediction” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Uma Kishore Godavarti, K. Giridhar, Vanani Prince Dharmendrabhai, Anchit Panday, Madhan Raj Kanagarathinam

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.