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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 501–525 of 2226 papers

TitleStatusHype
Predictive Coding Networks and Inference Learning: Tutorial and Survey—0
Electrostatics-based particle sampling and approximate inferenceCode0
Joint Channel and Data Estimation for Multiuser Extremely Large-Scale MIMO Systems—0
Hierarchical thematic classification of major conference proceedings—0
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits—0
Conditional score-based diffusion models for solving inverse problems in mechanics—0
Bayesian Inference for Multidimensional Welfare Comparisons—0
Integrating time-resolved nrf2 gene-expression data into a full GUTS model as a proxy for toxicodynamic damage in zebrafish embryo—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
Electricity Spot Prices Forecasting Using Stochastic Volatility ModelsCode0
Verbalized Probabilistic Graphical Modeling with Large Language Models—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation—0
Reparameterization invariance in approximate Bayesian inference—0
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors—0
Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis—0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Logistic Variational Bayes RevisitedCode0
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noiseCode0
Bayesian Online Natural Gradient (BONG)Code0
Understanding and mitigating difficulties in posterior predictive evaluation—0
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias CorrectionsCode0
Kernel Semi-Implicit Variational InferenceCode0
Infinite-dimensional Diffusion Bridge Simulation via Operator LearningCode0
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Benchmark Results

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