changliu00 / FGH-flow
Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)
☆12Updated 5 years ago
Alternatives and similar repositories for FGH-flow:
Users that are interested in FGH-flow are comparing it to the libraries listed below
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- ☆49Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- code release for the NIPS 2016 paper☆26Updated 8 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 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
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Legendre decomposition for tensors☆13Updated 6 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- This repository contains the code used for Ordered Memory paper☆29Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Deep Generative Models (Chainer)☆10Updated 7 years ago