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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 1826–1850 of 2226 papers

TitleStatusHype
Experimentally detecting a quantum change point via Bayesian inference—0
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification—0
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections—0
Interpreting Deep Classification Models With Bayesian Inference—0
A Scalable Laplace Approximation for Neural NetworksCode0
Gaussian Process Neurons—0
On Statistical Optimality of Variational Bayes—0
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators—0
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise—0
Assumed Density Filtering Q-learningCode0
Approximations in the homogeneous Ising model—0
Episodic memory for continual model learning—0
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit—0
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal NeuronsCode0
Molecular Clock Dating using MrBayes—0
Riemannian Stein Variational Gradient Descent for Bayesian InferenceCode0
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example—0
Gaussian Process Neurons Learn Stochastic Activation Functions—0
A Parameter-Free Learning Automaton Scheme—0
Computing the quality of the Laplace approximation—0
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data—0
A Kolmogorov-Smirnov test for the molecular clock on Bayesian ensembles of phylogenies—0
How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models—0
Bootstrapped synthetic likelihood—0
Message Passing Stein Variational Gradient Descent—0
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Benchmark Results

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