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 1526–1550 of 2226 papers

TitleStatusHype
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables—0
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics—0
Accounting for contact network uncertainty in epidemic inferences—0
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements—0
Accurate Evaluation of Asset Pricing Under Uncertainty and Ambiguity of Information—0
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning—0
A Channel-based Exact Inference Algorithm for Bayesian Networks—0
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One—0
A closed-form approach to Bayesian inference in tree-structured graphical models—0
A Closer Look at Disentangling in β-VAE—0
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth—0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
A Compressed Sensing Approach for Distribution Matching—0
A Concept Learning Approach to Multisensory Object Perception—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation—0
Active inference and deep generative modeling for cognitive ultrasound—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Active recursive Bayesian inference using Rényi information measures—0
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference—0
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
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Benchmark Results

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