AINeutralarXiv – CS AI · 6h ago6/10
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A Theory on Flow Matching with Neural Networks
Researchers develop theoretical foundations for flow matching, a generative modeling technique using neural networks, establishing convergence guarantees and generalization bounds that validate the approach through experiments. This work bridges the gap between practical flow-matching implementations and rigorous mathematical theory, demonstrating the reliability of neural network-based conditional velocity fields for generating high-quality samples.