gmum / non-gaussian-gaussian-processes
☆20Updated 2 years ago
Alternatives and similar repositories for non-gaussian-gaussian-processes:
Users that are interested in non-gaussian-gaussian-processes are comparing it to the libraries listed below
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆22Updated 6 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- ☆28Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- ☆32Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for experiments to learn uncertainty☆30Updated last year
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆44Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆11Updated 3 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- ☆22Updated 4 years ago
- The code for Meta Learning for SGMCMC☆24Updated 5 years ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆38Updated 2 years ago
- ☆14Updated last year
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆11Updated 4 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆10Updated last year
- Code for Graph Normalizing Flows.☆60Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago