SOTAVerified|Agents Browse Leaderboard About

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 141–150 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian neural networks via MCMC: a Python-based tutorial	Apr 2, 2023	Bayesian InferenceDeep Learning	CodeCode Available	1
Bayesian continual learning and forgetting in neural networks	Apr 18, 2025	Bayesian InferenceContinual Learning	CodeCode Available	1
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data	Mar 18, 2021	Bayesian Inference	CodeCode Available	1
A Primer on Bayesian Neural Networks: Review and Debates	Sep 28, 2023	Bayesian Inference	CodeCode Available	1
A Simple Baseline for Bayesian Uncertainty in Deep Learning	Feb 7, 2019	Bayesian InferenceDeep Learning	CodeCode Available	1
Calibrating Transformers via Sparse Gaussian Processes	Mar 4, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	1
Complete parameter inference for GW150914 using deep learning	Aug 7, 2020	Bayesian InferenceDeep Learning	CodeCode Available	1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction	Jun 8, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	1
Continual Learning via Sequential Function-Space Variational Inference	Dec 28, 2023	Bayesian InferenceContinual Learning	CodeCode Available	1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1

Show:10 25 50

← PrevPage 15 of 223Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified