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Bayesian Inference

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

Papers

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Showing 111–120 of 2226 papers

TitleStatusHype
Multi-model Stochastic Particle-based Variational Bayesian Inference for Multiband Delay Estimation—0
Dynamics on Lie groups with applications to attitude estimation—0
AI-Powered Bayesian Inference—0
Modeling Neural Activity with Conditionally Linear Dynamical SystemsCode1
Near-Optimal Approximations for Bayesian Inference in Function SpaceCode0
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Confidence Estimation via Sequential Likelihood Mixing—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Near-Field Motion Parameter Estimation: A Variational Bayesian Approach—0
Bayesian Physics Informed Neural Networks for Linear Inverse problems—0
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Benchmark Results

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