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 2181–2190 of 2226 papers

TitleStatusHype
Inverse decision-making using neural amortized Bayesian actorsCode0
Inverse Ising problem in continuous time: A latent variable approachCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Sequential Likelihood-Free Inference with Neural ProposalCode0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference NetworkCode0
Amortized variational transdimensional inferenceCode0
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Benchmark Results

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