tranbahien / you-need-a-good-priorLinks
All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
☆20Updated 3 years ago
Alternatives and similar repositories for you-need-a-good-prior
Users that are interested in you-need-a-good-prior are comparing it to the libraries listed below
Sorting:
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 10 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆46Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆34Updated last month
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 4 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated last month
- Neural Diffusion Processes☆81Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- ☆15Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for Gaussian Score Matching Variational Inference☆35Updated 7 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆70Updated 4 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago