SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Showing 576600 of 2226 papers

TitleStatusHype
Cold Posteriors through PAC-Bayes0
Automatic maneuver detection and tracking of space objects in optical survey scenarios based on stochastic hybrid systems formulation0
Automatic Bayesian Density Analysis0
A Latent Variational Framework for Stochastic Optimization0
A Concept Learning Approach to Multisensory Object Perception0
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control0
A Bayesian Approach To Graph Partitioning0
Cohort effects in mortality modelling: a Bayesian state-space approach0
Collapsed Variational Bayesian Inference for PCFGs0
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference0
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression0
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference0
A Mathematical Walkthrough and Discussion of the Free Energy Principle0
A Compressed Sensing Approach for Distribution Matching0
AutoBayes: A Compositional Framework for Generalized Variational Inference0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction0
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection0
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models0
A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation0
Black-Box Autoregressive Density Estimation for State-Space Models0
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability0
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Benchmark Results

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