rhaps0dy / convnets-as-gps
Code for "Deep Convolutional Networks as shallow Gaussian Processes"
☆39Updated 5 years ago
Alternatives and similar repositories for convnets-as-gps:
Users that are interested in convnets-as-gps are comparing it to the libraries listed below
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ☆37Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago