spbu-math-cs / Graph-Gaussian-Processes
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
☆53Updated 6 months ago
Alternatives and similar repositories for Graph-Gaussian-Processes:
Users that are interested in Graph-Gaussian-Processes are comparing it to the libraries listed below
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆32Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆68Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated 10 months ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 3 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 8 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆82Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Tensorflow implementation for the SVGP-VAE model.☆21Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆40Updated 5 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆57Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- ☆11Updated 5 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 11 months ago
- Bayesian active learning with EPIG data acquisition☆26Updated 2 weeks ago
- ☆15Updated 2 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated 11 months ago
- ☆30Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆16Updated 3 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago