AINeutralarXiv – CS AI · 3h ago6/10
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Optimal and Diffusion Transports in Machine Learning
A comprehensive academic survey examines how optimal transport and diffusion methods provide unified mathematical frameworks for solving machine learning problems involving time-evolving probability distributions. The research highlights applications across generative AI, neural network optimization, and large language model dynamics, offering computational and theoretical advantages through Lagrangian vector field representations.