runame / laplace-refinementLinks
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
☆10Updated 2 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:
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- ☆18Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 10 months ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- ☆51Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆36Updated 9 months ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 3 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆20Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Kernel Identification Through Transformers☆14Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆33Updated last year
- ☆34Updated 5 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- ☆20Updated 7 months ago
- Implementation of Action Matching☆44Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆24Updated last year
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆14Updated 6 months ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆25Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆36Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year