Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
Today's large language models tend to have large parameters, and consumer-grade computers are slow to do simple inference, let alone train a model from scratch. The goal of this project is to organize ...
Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...
Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.
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