thjashin / spectral-stein-grad
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
☆33Updated last year
Alternatives and similar repositories for spectral-stein-grad:
Users that are interested in spectral-stein-grad are comparing it to the libraries listed below
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- Code release for the ICLR paper☆20Updated 6 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
- ☆37Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 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
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆42Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆47Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago