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Artificial Neural Networks and Deep Learning
17. Flow-Matching
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    insper/ann-dl
    insper/ann-dl
    • Ementa
    • 2025.2
      • 1. Concepts
      • 2. Data
      • 3. Preprocessing
      • 4. Neural Networks
      • 5. Perceptron
      • 6. Multi-Layer Perceptron
      • 7. Optimization
      • 8. Regularization
        • 9.1. Classification
        • 9.2. Regression
        • 9.3. Generative
      • 10. Deep Learning
      • 11. Convolutional
      • 12. Generative Models
      • 13. GAN
      • 14. VAE
      • 15. CLIP
      • 16. Stable Diffusion
      • 17. Flow-Matching
      • Latent Space vs. Embedding
      • Stable Diffusion vs. Flow-Matching
    • References
      • Terms and Conditions
        • 2025.2
          • 1. Data
          • 2. Perceptron
          • 3. MLP
          • 4. VAE
          • 1. Classification
          • 2. Regression
          • 3. Generative

    17. Flow-Matching

    1. Flow-Matching: A New Paradigm for Generative Modeling, 2022. ↩

    2. Flux: A General Framework for Diffusion Models, 2024. ↩

    November 6, 2025 November 6, 2025
    Humberto Sandmann
    GitHub
    hsandmann
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