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 91–100 of 2226 papers

Title	Date	Tasks	Status	Hype
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation	Mar 14, 2022	Bayesian InferenceCPU	CodeCode Available	1
Deep Bayesian Unsupervised Lifelong Learning	Jun 13, 2021	Bayesian InferenceLifelong learning	CodeCode Available	1
Understanding and Accelerating Particle-Based Variational Inference	Jul 4, 2018	Bayesian InferenceVariational Inference	CodeCode Available	1
Automatic Posterior Transformation for Likelihood-Free Inference	May 17, 2019	Bayesian InferenceTime Series	CodeCode Available	1
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective	Dec 4, 2023	Bayesian Inference	CodeCode Available	1
A practical tutorial on Variational Bayes	Mar 1, 2021	Bayesian InferenceVariational Inference	CodeCode Available	1
Domain Adaptation as a Problem of Inference on Graphical Models	Feb 9, 2020	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	Jun 6, 2015	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable	Feb 3, 2021	3D ReconstructionBayesian Inference	CodeCode Available	1
A Primer on Bayesian Neural Networks: Review and Debates	Sep 28, 2023	Bayesian Inference	CodeCode Available	1

Show:10 25 50

← PrevPage 10 of 223Next →

Benchmark Results

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