Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
☆10Oct 21, 2022Updated 3 years ago
Alternatives and similar repositories for laplace-refinement
Users that are interested in laplace-refinement are comparing it to the libraries listed below
Sorting:
- Modular Gaussian Processes☆16Dec 9, 2021Updated 4 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Nov 10, 2020Updated 5 years ago
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆15Nov 4, 2024Updated last year
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 2 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 4 years ago
- The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)☆11Apr 21, 2023Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆12Dec 24, 2023Updated 2 years ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆16Nov 30, 2025Updated 3 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67May 9, 2024Updated last year
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆22Sep 7, 2023Updated 2 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Aug 13, 2024Updated last year
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆28May 22, 2025Updated 9 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Jul 13, 2024Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Jul 20, 2024Updated last year
- ☆40Jan 27, 2026Updated last month
- ☆33Aug 30, 2022Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆74May 19, 2024Updated last year
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆40Sep 18, 2025Updated 5 months ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Sep 27, 2023Updated 2 years ago
- Dataset corresponding to the paper: "Form2Seq : A Framework for Higher-Order Form Structure Extraction"☆10Feb 17, 2021Updated 5 years ago
- rebuilds and completes models of protein complexes using AlphaFold2☆15Updated this week
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Nov 6, 2023Updated 2 years ago
- Dynamic causal Bayesian optimisation (NeurIPS 2021)☆40Apr 24, 2023Updated 2 years ago
- ☆10Jun 24, 2023Updated 2 years ago
- ☆13Jun 5, 2024Updated last year
- ☆12Apr 9, 2025Updated 10 months ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆41Sep 26, 2025Updated 5 months ago
- Demonstration of the UPGMA hierarchal clustering algorithm in Pandas, Seaborn, and Scipy☆11Sep 29, 2019Updated 6 years ago
- Implementations of the renormalization group-based diffusion model (RGDM).☆16Mar 10, 2025Updated 11 months ago
- ☆12Mar 15, 2023Updated 2 years ago
- A Structural Average of Labeled Merge Trees for Uncertainty Visualization☆11Apr 22, 2024Updated last year
- Protein scoring and sampling of 'Combinatorial Variant Effects from Structure' (CoVES)☆11Jan 5, 2024Updated 2 years ago