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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 1001–1050 of 2226 papers

TitleStatusHype
Predictive coding and stochastic resonance as fundamental principles of auditory perception—0
Hybrid Predictive Coding: Inferring, Fast and Slow—0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Variational message passing for online polynomial NARMAX identificationCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference—0
Free energy and inference in living systems—0
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
Bayesian Deep Learning with Multilevel Trace-class Neural Networks—0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
Generative models and Bayesian inversion using Laplace approximation—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Quantifying active and resistive stresses in adherent cells—0
Flexible Amortized Variational Inference in qBOLD MRICode0
Bayesian inference via sparse Hamiltonian flowsCode0
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data—0
Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications—0
Variational methods for simulation-based inferenceCode0
Online Dynamic Parameter Estimation of an Alkaline Electrolysis System Based on Bayesian Inference—0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Gaussian Process-based Spatial Reconstruction of Electromagnetic fields—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
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
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties—0
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems—0
Sequential Bayesian experimental designs via reinforcement learning—0
Adjoint-aided inference of Gaussian process driven differential equations—0
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapCode0
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning—0
Black-box Bayesian inference for economic agent-based models—0
Exoplanet Characterization using Conditional Invertible Neural Networks—0
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound FrameworkCode0
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization—0
Learning Summary Statistics for Bayesian Inference with AutoencodersCode0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Kernel Learning Method for Backward SDE Filter—0
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image AnalysisCode0
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
Asymptotic properties of Bayesian inference in linear regression with a structural break—0
Online, Informative MCMC Thinning with Kernelized Stein DiscrepancyCode0
Incorporating Bayesian approaches in Deep Learning Research—0
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Benchmark Results

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