Feuermagier / Beyond_Deep_EnsemblesLinks
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
Sorting:
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- Bayesian active learning with EPIG data acquisition☆32Updated last month
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Neural Diffusion Processes☆80Updated 10 months ago
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 10 months ago
- Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data☆11Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆44Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆82Updated 2 years ago
- Official repository for "Estimating Epistemic and Aleatoric Uncertainty with a Single Model"☆20Updated 7 months ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years 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
- Large-scale uncertainty benchmark in deep learning.☆60Updated 3 weeks ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Variational Implicit Processes☆9Updated 6 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- Official PyTorch implementation of "DC-MPC: Discrete Codebook Model Predictive Control"☆18Updated 2 months ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆24Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆25Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆38Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- The official codebase for Predictive Inference with Feature Conformal Prediction☆35Updated 2 years ago
- Score-based generative models for compact manifolds☆110Updated last year