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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 376–400 of 2226 papers

TitleStatusHype
Relational Neurosymbolic Markov Models—0
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive HierarchyCode0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Bayesian inference of mean velocity fields and turbulence models from flow MRI—0
Adaptive Nonparametric Perturbations of Parametric Bayesian ModelsCode0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Hardware implementation of timely reliable Bayesian decision-making using memristors—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
The Polynomial Stein Discrepancy for Assessing Moment ConvergenceCode0
Semiparametric Bayesian Difference-in-Differences—0
Path-Guided Particle-based SamplingCode0
MACAW: A Causal Generative Model for Medical ImagingCode0
Extension of compressive sampling to binary vector recovery for model-based defect imaging—0
Physics-informed Gaussian Processes as Linear Model Predictive Controller—0
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs—0
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference—0
Belief patterns with information processing—0
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive ModellingCode0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
Connections between sequential Bayesian inference and evolutionary dynamics—0
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Spatial-variant causal Bayesian inference for rapid seismic ground failures and impacts estimation—0
Variational Bayesian Bow tie Neural Networks with ShrinkageCode0
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Benchmark Results

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