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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 901–925 of 2226 papers

TitleStatusHype
Flexible Amortized Variational Inference in qBOLD MRICode0
Online Dynamic Parameter Estimation of an Alkaline Electrolysis System Based on Bayesian Inference—0
Variational methods for simulation-based inferenceCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Rule-based Evolutionary Bayesian LearningCode0
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees—0
Parallel MCMC Without Embarrassing FailuresCode0
Non-Volatile Memory Accelerated Posterior Estimation—0
A Molecular Prior Distribution for Bayesian Inference Based on Wilson StatisticsCode0
Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties—0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Learning to Generalize across Domains on Single Test SamplesCode1
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems—0
Sequential Bayesian experimental designs via reinforcement learning—0
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapCode0
Adjoint-aided inference of Gaussian process driven differential equations—0
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning—0
Black-box Bayesian inference for economic agent-based models—0
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound FrameworkCode0
Exoplanet Characterization using Conditional Invertible Neural Networks—0
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Benchmark Results

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