ermongroup / higher_order_invarianceLinks
Code for "Accelerating Natural Gradient with Higher-Order Invariance"
☆30Updated 5 years ago
Alternatives and similar repositories for higher_order_invariance
Users that are interested in higher_order_invariance are comparing it to the libraries listed below
Sorting:
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code release for the ICLR paper☆20Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆42Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆37Updated 5 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago