HanxiSun / SteinNS
code for Stein Neural Sampler
☆22Updated 6 years ago
Alternatives and similar repositories for SteinNS:
Users that are interested in SteinNS are comparing it to the libraries listed below
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 8 months ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ☆10Updated 7 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆42Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- ☆64Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- ☆30Updated 4 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- code submission to NeurIPS2019☆13Updated last year
- ☆11Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆145Updated 5 years ago
- ☆28Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆43Updated last year
- ☆50Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- ☆13Updated 6 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago