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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 141–150 of 2226 papers

TitleStatusHype
Trumpets: Injective Flows for Inference and Inverse ProblemsCode1
Scalable Bayesian Inverse Reinforcement LearningCode1
Variational Inference for Deblending Crowded StarfieldsCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro DataCode1
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanismCode1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
Score Matched Neural Exponential Families for Likelihood-Free InferenceCode1
Spacecraft Collision Risk Assessment with Probabilistic ProgrammingCode1
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Benchmark Results

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