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 801–825 of 2226 papers

TitleStatusHype
A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference—0
Mean-field Variational Inference via Wasserstein Gradient Flow—0
Minimum Description Length Control—0
Latent Variable Models for Bayesian Causal Discovery—0
Neural Posterior Estimation with Differentiable Simulators—0
Scalable Bayesian Inference for Detection and Deblending in Astronomical ImagesCode1
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
Laplacian Autoencoders for Learning Stochastic RepresentationsCode1
Comparative Study of Inference Methods for Interpolative Decomposition—0
Towards Unifying Perceptual Reasoning and Logical Reasoning—0
Bayesian Neural Network Detector for an Orthogonal Time Frequency Space Modulation—0
Variational Bayesian inference for CP tensor completion with side information—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Cold Posteriors through PAC-Bayes—0
Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme—0
Robust One Round Federated Learning with Predictive Space Bayesian InferenceCode0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift—0
Scaling multi-species occupancy models to large citizen science datasets—0
Fidelity of Hyperbolic Space for Bayesian Phylogenetic InferenceCode0
Generalised Bayesian Inference for Discrete Intractable LikelihoodCode0
Personalized Federated Learning via Variational Bayesian InferenceCode1
How Adults Understand What Young Children Say—0
Calibrating Agent-based Models to Microdata with Graph Neural Networks—0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
Show:102550
← PrevPage 33 of 90Next →

Benchmark Results

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