SOTAVerified

Bayesian Inference

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

Papers

Showing 251275 of 2226 papers

TitleStatusHype
Adversarial α-divergence Minimization for Bayesian Approximate InferenceCode0
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural NetworksCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Detecting structural perturbations from time series with deep learningCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Distilling Model KnowledgeCode0
Approximate Bayesian Neural Doppler ImagingCode0
Deep Bayesian Structure NetworksCode0
Deep Active Inference as Variational Policy GradientsCode0
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithmsCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon SynapseCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Debiased Bayesian inference for average treatment effectsCode0
Data-driven Approach for Interpolation of Sparse DataCode0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Data Subsampling for Bayesian Neural NetworksCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?Code0
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Benchmark Results

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