SOTAVerified

Bayesian Inference

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

Papers

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Showing 551–600 of 2226 papers

TitleStatusHype
Bandit Learning for Diversified Interactive Recommendation—0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges—0
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning—0
Active inference and deep generative modeling for cognitive ultrasound—0
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty—0
Bayesian Analysis of Combinatorial Gaussian Process Bandits—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
A visual exploration of Gaussian Processes and Infinite Neural Networks—0
Amortized Bayesian Inference for Models of Cognition—0
A Variational View on Bootstrap Ensembles as Bayesian Inference—0
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM—0
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension—0
Variational inference of fractional Brownian motion with linear computational complexity—0
ABC random forests for Bayesian parameter inference—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
Automatic Variational Inference in Stan—0
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Cold Posteriors through PAC-Bayes—0
Automatic maneuver detection and tracking of space objects in optical survey scenarios based on stochastic hybrid systems formulation—0
Automatic Bayesian Density Analysis—0
A Latent Variational Framework for Stochastic Optimization—0
A Concept Learning Approach to Multisensory Object Perception—0
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control—0
A Bayesian Approach To Graph Partitioning—0
Cohort effects in mortality modelling: a Bayesian state-space approach—0
Collapsed Variational Bayesian Inference for PCFGs—0
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery—0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
A Mathematical Walkthrough and Discussion of the Free Energy Principle—0
A Compressed Sensing Approach for Distribution Matching—0
AutoBayes: A Compositional Framework for Generalized Variational Inference—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection—0
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models—0
A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
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Benchmark Results

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