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3. Self-normalized Importance Sampling for Training Gaussian Mixture Model in Bayesian Convolutional Neural Network

6. Train a Deep Neural Network by Minimizing an Energy Function to Solve Partial Differential Equations: A Review

9. EIGENCURVES OF THE p-LAPLACIAN WITH WEIGHTS AND THEIR ASYMPTOTIC BEHAVIOR.

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