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 1151–1175 of 2226 papers

TitleStatusHype
D3p -- A Python Package for Differentially-Private Probabilistic ProgrammingCode1
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development—0
Sparse Algorithms for Markovian Gaussian ProcessesCode0
A Probabilistic State Space Model for Joint Inference from Differential Equations and DataCode1
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms—0
A New Parameterized Family of Stochastic Particle Flow Filters—0
Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks—0
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data setsCode0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie—0
Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs—0
Modeling tail risks of inflation using unobserved component quantile regressionsCode1
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphsCode0
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy dataCode1
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
Parsimonious Inference—0
A practical tutorial on Variational BayesCode1
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders—0
Stein Variational Gradient Descent: many-particle and long-time asymptotics—0
Sparse online variational Bayesian regressionCode0
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference—0
Trumpets: Injective Flows for Inference and Inverse ProblemsCode1
Estimating the impact of non-pharmaceutical interventions and vaccination on the progress of the COVID-19 epidemic in Mexico: a mathematical approach—0
The Variational Bayesian Inference for Network Autoregression Models—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Show:102550
← PrevPage 47 of 90Next →

Benchmark Results

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