Feuermagier / Beyond_Deep_Ensembles
Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
☆22Updated last year
Alternatives and similar repositories for Beyond_Deep_Ensembles:
Users that are interested in Beyond_Deep_Ensembles are comparing it to the libraries listed below
- Simple (and cheap!) neural network uncertainty estimation☆61Updated last week
- Bayesian active learning with EPIG data acquisition☆28Updated 2 weeks ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆23Updated 7 months ago
- Neural Diffusion Processes☆76Updated 6 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 10 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆79Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆45Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆39Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated 11 months ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆201Updated 3 months ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆52Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 11 months ago
- Experiments for Neural Flows paper☆93Updated 3 years ago
- ☆50Updated 3 weeks ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles☆25Updated 5 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆25Updated 11 months ago
- ☆53Updated 6 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- ☆17Updated 5 months ago