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 151–175 of 2226 papers

TitleStatusHype
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaicsCode1
Enriching ImageNet with Human Similarity Judgments and Psychological EmbeddingsCode1
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
Bayesian Deep Learning via Subnetwork InferenceCode1
BayesDLL: Bayesian Deep Learning LibraryCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Bayesian Adversarial Human Motion SynthesisCode1
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
From Theory to Application: A Practical Introduction to Neural Operators in Scientific ComputingCode1
Complete parameter inference for GW150914 using deep learningCode1
GAN-based Priors for Quantifying UncertaintyCode1
Amortized Monte Carlo IntegrationCode1
Bayesian continual learning and forgetting in neural networksCode1
Amortizing intractable inference in large language modelsCode1
Bayesian Coresets: Revisiting the Nonconvex Optimization PerspectiveCode1
Bayesian differential programming for robust systems identification under uncertaintyCode1
Inferring COVID-19 spreading rates and potential change points for case number forecastsCode1
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
Cyclical Stochastic Gradient MCMC for Bayesian Deep LearningCode1
Laplacian Autoencoders for Learning Stochastic RepresentationsCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Diffusive Gibbs SamplingCode1
Show:102550
← PrevPage 7 of 90Next →

Benchmark Results

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