chenw20 / SGPALinks
Example code of Sparse Gaussian Process Attention (ICLR 2023)
☆26Updated last month
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☆75Updated 3 weeks ago
- ☆16Updated 3 years ago
- 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
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- VAEs and nonlinear ICA: a unifying framework☆38Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Updated last year
- ☆24Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆13Updated 2 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- ☆51Updated last year
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆21Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆36Updated last year
- Neural Tangent Kernel Papers☆118Updated 9 months ago
- ☆22Updated 3 years ago
- Integrated gradients attribution method implemented in PyTorch☆27Updated 4 years ago