MichaelArbel / Scaled-MMD-GAN
Scaled MMD GAN
☆36Updated 5 years ago
Alternatives and similar repositories for Scaled-MMD-GAN:
Users that are interested in Scaled-MMD-GAN are comparing it to the libraries listed below
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆28Updated 3 years ago
- ☆42Updated 5 years ago
- ☆37Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆53Updated 8 months ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 5 months ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆47Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆26Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- ☆46Updated 7 years ago
- ☆29Updated 3 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago