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 11–20 of 2226 papers

TitleStatusHype
Assessing the Impact of Vaccination on Rotavirus Transmission Dynamics Using Bayesian Inference—0
Deep Learning Surrogates for Real-Time Gas Emission Inversion—0
Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior—0
Variational Inference with Mixtures of Isotropic GaussiansCode0
Surprise Calibration for Better In-Context Learning—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
Statistical Machine Learning for Astronomy -- A TextbookCode2
Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference—0
Foundation Models for Causal Inference via Prior-Data Fitted Networks—0
Bayesian Probabilistic Matrix Factorization—0
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Benchmark Results

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