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 951–960 of 2226 papers

TitleStatusHype
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Data fission: splitting a single data point—0
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms—0
Transformers Can Do Bayesian InferenceCode1
Predictive Coding Theories of Cortical Function—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
Unified field theoretical approach to deep and recurrent neuronal networks—0
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks—0
A Bayesian take on option pricing with Gaussian processes—0
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Benchmark Results

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