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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 901–950 of 2226 papers

TitleStatusHype
Flexible Amortized Variational Inference in qBOLD MRICode0
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
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
Learning Summary Statistics for Bayesian Inference with AutoencodersCode0
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization—0
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
A visual exploration of Gaussian Processes and Infinite Neural Networks—0
Bayesian sense of time in biological and artificial brains—0
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADACode1
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture ModelsCode0
pymdp: A Python library for active inference in discrete state spacesCode2
Loss-calibrated expectation propagation for approximate Bayesian decision-making—0
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery—0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Classifying Turbulent Environments via Machine Learning—0
Bayesian Invariant Risk Minimization—0
Inferring perceptual decision making parameters from behavior in production and reproduction tasks—0
Interpreting Dynamical Systems as Bayesian Reasoners—0
Reactive Message Passing for Scalable Bayesian InferenceCode1
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
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Benchmark Results

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