zihangdai / reexamine-srnn
☆12Updated 5 years ago
Alternatives and similar repositories for reexamine-srnn
Users that are interested in reexamine-srnn are comparing it to the libraries listed below
Sorting:
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆25Updated 7 years ago
- ☆17Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 8 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ZForcing Repo☆40Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- ☆24Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Updated 7 years ago
- ☆24Updated 2 weeks ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆37Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago