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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 1271–1280 of 2226 papers

TitleStatusHype
Amortized Conditional Normalized Maximum Likelihood—0
Multilevel Gibbs Sampling for Bayesian Regression—0
On the representation and learning of monotone triangular transport mapsCode0
Partially Observable Online Change Detection via Smooth-Sparse Decomposition—0
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference—0
Epidemic mitigation by statistical inference from contact tracing data—0
Remote sensing image fusion based on Bayesian GAN—0
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelingCode0
Optimality of short-term synaptic plasticity in modelling certain dynamic environments—0
Density Estimation via Bayesian Inference Engines—0
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Benchmark Results

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