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 426–450 of 2226 papers

TitleStatusHype
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsCode0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching HeteroskedasticityCode0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
Deep Neural Networks as Gaussian ProcessesCode0
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic modelsCode0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
Bandit Learning with Implicit FeedbackCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon SynapseCode0
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic ProgrammingCode0
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithmsCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Bayesian inference is facilitated by modular neural networks with different time scalesCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Approximate Bayesian Neural Doppler ImagingCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Differentially Private Bayesian Learning on Distributed DataCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Fast and Robust Rank Aggregation against Model MisspecificationCode0
Show:102550
← PrevPage 18 of 90Next →

Benchmark Results

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