SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 2226 papers

TitleStatusHype
Bistable perception, precision and neuromodulationCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework—0
Bayesian data fusion with shared priors—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
PRISM: Probabilistic Real-Time Inference in Spatial World Models—0
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems—0
Are you using test log-likelihood correctly?—0
Trust and Time Preference: Measuring a Causal Effect in a Random-Assignment Experiment—0
Double Robust Bayesian Inference on Average Treatment Effects—0
A Search and Detection Autonomous Drone System: from Design to Implementation—0
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data—0
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive ModelsCode1
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventionsCode0
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities—0
Understanding Approximation for Bayesian Inference in Neural Networks—0
Bayesian score calibration for approximate modelsCode0
Generalization of generative model for neuronal ensemble inference method—0
Fully Bayesian inference for latent variable Gaussian process modelsCode0
Show:102550
← PrevPage 29 of 90Next →

Benchmark Results

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