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Why Flow Matching is Particle Swarm Optimization?
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Why Generalization in Flow Matching Models Comes from Approximation, Not Stochasticity
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This AI Paper from NVIDIA and SUTD Singapore Introduces TANGOFLUX and CRPO: Efficient and High-Quality Text-to-Audio Generation with Flow Matching
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Microsoft and Tsinghua University Researchers Introduce Distilled Decoding: A New Method for Accelerating Image Generation in Autoregressive Models without Quality Loss
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ProteinZen: An All-Atom Protein Structure Generation Method Using Machine Learning
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Meet Stochastic Flow Matching: An AI Framework Mapping Low-Resolution to Latent Space, Bridging High-Resolution Targets Effectively
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