YingzhenLi / vae_renyi_divergenceLinks
A tensorflow implementation of VAE training with Renyi divergence
☆31Updated 9 years ago
Alternatives and similar repositories for vae_renyi_divergence
Users that are interested in vae_renyi_divergence are comparing it to the libraries listed below
Sorting:
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- code release for the NIPS 2016 paper☆27Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆104Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 9 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 7 years ago
- ☆37Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆233Updated 7 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 7 years ago