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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 476–500 of 2226 papers

TitleStatusHype
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning—0
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern—0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Fine-Tuning Generative Models as an Inference Method for Robotic TasksCode0
Simulation-based Bayesian Inference from Privacy Protected DataCode0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis—0
Bayesian Flow Networks in Continual Learning—0
Sensitivity-Aware Amortized Bayesian InferenceCode0
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Worst-Case Analysis is Maximum-A-Posteriori Estimation—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
A time-varying finance-led model for U.S. business cycles—0
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian InferenceCode0
Amortizing intractable inference in large language modelsCode1
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs—0
Variational Inference for GARCH-family Models—0
Discriminative Training of VBx DiarizationCode1
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays—0
Towards a Unified Framework for Sequential Decision Making—0
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Benchmark Results

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