Stochastic Neural Networks
tf.layers
style implementation of stochastic neural network models. Work in progress.
References
- Weight Uncertainty in Neural Networks
- Learning Sparse Neural Networks through L_0 Regularization
- Bayesian Compression for Deep Learning
- Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
- Variational Dropout and the Local Reparameterization Trick
- Masked Autoregressive Flow for Density Estimation
- Variational Inference with Normalizing Flows
- Improving Variational Inference with Inverse Autoregressive Flow