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 651–675 of 2226 papers

TitleStatusHype
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Biologically Inspired Dynamic Textures for Probing Motion Perception—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
Communication-Efficient Distributed Statistical Inference—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Comparative Study of Inference Methods for Interpolative Decomposition—0
A Unified Kernel for Neural Network Learning—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Bilinear Subspace Variational Bayesian Inference for Joint Scattering Environment Sensing and Data Recovery in ISAC Systems—0
Compositional amortized inference for large-scale hierarchical Bayesian models—0
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting—0
Active recursive Bayesian inference using Rényi information measures—0
A Markov Model of Machine Translation using Non-parametric Bayesian Inference—0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Data fission: splitting a single data point—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Augmented Message Passing Stein Variational Gradient Descent—0
Computing the quality of the Laplace approximation—0
Big Learning with Bayesian Methods—0
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning—0
A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior—0
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework—0
Show:102550
← PrevPage 27 of 90Next →

Benchmark Results

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