chenw20 / SGPA
Example code of Sparse Gaussian Process Attention (ICLR 2023)
☆22Updated 7 months ago
Alternatives and similar repositories for SGPA:
Users that are interested in SGPA are comparing it to the libraries listed below
- Bayesian active learning with EPIG data acquisition☆27Updated last week
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆9Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated this week
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- VAEs and nonlinear ICA: a unifying framework☆33Updated 4 years 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
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆10Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆110Updated 2 years ago
- ☆50Updated 3 weeks ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Updated last year
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago
- Bayesian low-rank adaptation for large language models☆22Updated 9 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 9 months ago
- Pytorch implementation of neural processes and variants☆27Updated 6 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
- Code for the paper "Bayesian Neural Network Priors Revisited"☆56Updated 3 years ago
- ☆16Updated 5 months ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆46Updated 5 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆22Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 2 months ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 10 months ago