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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 451–475 of 2226 papers

TitleStatusHype
Spinal Muscle Atrophy Disease Modelling as Bayesian Network—0
A Metalearned Neural Circuit for Nonparametric Bayesian InferenceCode0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia—0
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimationCode0
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry—0
Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks—0
Bayesian mechanics of self-organising systems—0
Bayes in the age of intelligent machines—0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference—0
Joint Location Sensing and Channel Estimation for IRS-Aided mmWave ISAC Systems—0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
The Transient Nature of Emergent In-Context Learning in TransformersCode1
The Hyperdimensional Transform for Distributional Modelling, Regression and ClassificationCode0
BClean: A Bayesian Data Cleaning SystemCode0
Conditional Optimal Transport on Function SpacesCode0
Operational modal analysis of under-determined system based on Bayesian CP decomposition—0
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem—0
Flexible Bayesian Inference on Partially Observed Epidemics—0
Riemannian Laplace Approximation with the Fisher MetricCode0
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
Robust and Conjugate Gaussian Process RegressionCode0
Projecting basis functions with tensor networks for Gaussian process regression—0
Inferring to C or not to C: Evolutionary games with Bayesian inferential strategies—0
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks—0
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Benchmark Results

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