Abstract: Generic deep learning (DL) networks for image restoration like denoising and interpolation lack mathematical interpretability, require voluminous training data to tune large parameter sets, ...
Subscribe! Want more math video lessons? Visit my website to view all of my math videos organized by course, chapter and section. The purpose of posting my free video tutorials is to not only help ...
Abstract: The optimization of multi-user multi-input multi-output (MU-MIMO) precoders is a widely recognized challenging problem. In this paper, we develop a gradient-driven GNN design method for the ...
MicroGPT is a custom-built, 30.5 million parameter Large Language Model (LLM) trained entirely from scratch. The mathematical architecture, tokenization pipeline, and training loop were written in ...
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