cambridge-mlg / SPVAELinks
Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)
☆12Updated 5 years ago
Alternatives and similar repositories for SPVAE
Users that are interested in SPVAE are comparing it to the libraries listed below
Sorting:
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 11 months ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- ☆91Updated 3 years ago
- ☆43Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- code release for the NIPS 2016 paper☆28Updated 8 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- ☆32Updated 2 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]☆13Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆65Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated 2 years ago
- ☆78Updated 4 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆51Updated 4 years ago
- ☆13Updated 7 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 7 years ago
- Generative Model for Neural Networks☆24Updated 5 years ago