PrincetonLIPS / reversible-inductive-constructionLinks
Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
☆30Updated 4 years ago
Alternatives and similar repositories for reversible-inductive-construction
Users that are interested in reversible-inductive-construction are comparing it to the libraries listed below
Sorting:
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- ☆37Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- ☆12Updated 7 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- ☆22Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆49Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- ☆32Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago