Feuermagier / Beyond_Deep_Ensembles
Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Beyond_Deep_Ensembles
- Bayesian active learning with EPIG data acquisition☆25Updated 6 months ago
- Simple (and cheap!) neural network uncertainty estimation☆56Updated 2 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 2 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆36Updated 2 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆21Updated 2 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆19Updated 4 months ago
- Neural Diffusion Processes☆73Updated 3 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆90Updated 7 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆25Updated 7 months ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆79Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆187Updated 3 weeks ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated last year
- 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…☆49Updated last year
- ☆51Updated 4 months ago
- ☆17Updated 2 months ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆47Updated 6 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆27Updated 2 months ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆44Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆19Updated 8 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- ☆15Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆38Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆22Updated 8 months ago