XuchanBao / linear-ae
☆13Updated 9 months ago
Alternatives and similar repositories for linear-ae:
Users that are interested in linear-ae are comparing it to the libraries listed below
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- ☆49Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- ☆30Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆29Updated 3 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆83Updated 4 years ago
- ☆19Updated 3 years ago
- ☆53Updated 9 months ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 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
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago