SOTAVerified

Bayesian Inference

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

Papers

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Showing 876–900 of 2226 papers

TitleStatusHype
Efficient posterior inference & generalization in physics-based Bayesian inference with conditional GANs—0
Bayesian Inference in Physics-Driven Problems with Adversarial Priors—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning—0
EinSteinVI: General and Integrated Stein Variational Inference—0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
Accelerating MCMC via Parallel Predictive Prefetching—0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia—0
Elements of Sequential Monte Carlo—0
Eliciting Language Model Behaviors with Investigator Agents—0
Embarrassingly parallel MCMC using deep invertible transformations—0
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators—0
Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models—0
EMHMM Simulation Study—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Enhanced gradient-based MCMC in discrete spaces—0
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data—0
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence—0
Bayesian Inference of Log Determinants—0
Ensemble Kalman filter for uncertainty in human language comprehension—0
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified