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Bayesian Inference

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

Papers

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Showing 1226–1250 of 2226 papers

TitleStatusHype
The computational asymptotics of Gaussian variational inference and the Laplace approximationCode0
Revisiting Bayesian Autoencoders with MCMCCode0
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?Code0
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
A Bayesian Approach to Identifying Representational Errors—0
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality—0
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
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
Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs—0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie—0
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphsCode0
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
Parsimonious Inference—0
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
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
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Benchmark Results

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