SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Showing 476500 of 2226 papers

TitleStatusHype
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement LearningCode0
Bayesian Inference with Certifiable Adversarial RobustnessCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Nonparametric Bayesian Deep Networks with Local CompetitionCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
NFAD: Fixing anomaly detection using normalizing flowsCode0
Detecting structural perturbations from time series with deep learningCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Amortized Bayesian inference for clustering modelsCode0
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental DesignCode0
AGEM: Solving Linear Inverse Problems via Deep Priors and SamplingCode0
Online neural connectivity estimation with ensemble stimulationCode0
Arbitrary Marginal Neural Ratio Estimation for Simulation-based InferenceCode0
On Sequential Bayesian Inference for Continual LearningCode0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
Are Bayesian neural networks intrinsically good at out-of-distribution detection?Code0
Bayesian latent structure discovery from multi-neuron recordingsCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Deep Bayesian Structure NetworksCode0
Deep Neural Networks as Gaussian ProcessesCode0
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning AlgorithmsCode0
A generative flow for conditional sampling via optimal transportCode0
Debiased Bayesian inference for average treatment effectsCode0
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Benchmark Results

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