chenw20 / SGPALinks
Example code of Sparse Gaussian Process Attention (ICLR 2023)
☆25Updated last year
Alternatives and similar repositories for SGPA
Users that are interested in SGPA are comparing it to the libraries listed below
Sorting:
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- VAEs and nonlinear ICA: a unifying framework☆47Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Neural Tangent Kernel Papers☆115Updated 7 months ago
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆20Updated last year
- ☆24Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 9 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆227Updated 10 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…☆56Updated last year
- Bayesian Attention Modules☆35Updated 4 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Mutual information estimators and benchmark☆51Updated 7 months ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆24Updated 2 years ago