f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Sebastian Nowozin, Botond Cseke, Ryota Tomioka

Nov-21-2025, 09:59:21 GMT–Neural Information Processing Systems

We discuss the benefits of various choices of divergence functions on training complexity and the quality of the obtained generative models.

artificial intelligence, deep learning, machine learning, (16 more...)

Neural Information Processing Systems

Nov-21-2025, 09:59:21 GMT

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Country:
- Asia > Middle East
  - Jordan (0.04)
- Europe > Spain
  - Catalonia > Barcelona Province > Barcelona (0.04)

Genre:
- Research Report > New Finding (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks > Deep Learning (0.46)
    - Statistical Learning (0.68)
  - Representation & Reasoning (1.00)

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f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
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