Kernel Stein Generative Modeling

6 Jul 2020Wei-Cheng ChangChun-Liang LiYoussef MrouehYiming Yang

We are interested in gradient-based Explicit Generative Modeling where samples can be derived from iterative gradient updates based on an estimate of the score function of the data distribution. Recent advances in Stochastic Gradient Langevin Dynamics (SGLD) demonstrates impressive results with energy-based models on high-dimensional and complex data distributions... (read more)

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