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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 1526–1550 of 2226 papers

TitleStatusHype
Compositional uncertainty in deep Gaussian processesCode0
Bayesian inference of species trees using diffusion modelsCode0
Prediction Uncertainty Estimation for Hate Speech Classification—0
GAN priors for Bayesian inference—0
Adversarial α-divergence Minimization for Bayesian Approximate InferenceCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Spike Sorting using the Neural Clustering ProcessCode0
Efficient Bayesian synthetic likelihood with whitening transformations—0
Correcting Predictions for Approximate Bayesian InferenceCode0
Evaluating Topic Quality with Posterior VariabilityCode0
Accelerated Information Gradient flowCode0
On the Expressiveness of Approximate Inference in Bayesian Neural NetworksCode0
Variationally Inferred Sampling Through a Refined Bound for Probabilistic ProgramsCode0
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in GlaucomaCode0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing—0
Bayesian posterior repartitioning for nested samplingCode0
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Bayesian Inference for Large Scale Image Classification—0
Variational Bayes on ManifoldsCode0
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm—0
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement—0
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI—0
Bayesian Inference with Generative Adversarial Network Priors—0
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Benchmark Results

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