SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 2226 papers

TitleStatusHype
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures—0
Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs—0
Bayesian Neural Network Detector for an Orthogonal Time Frequency Space Modulation—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Bayesian neural networks and dimensionality reduction—0
Bayesian Neural Networks: Essentials—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
Bayesian Neural Ordinary Differential Equations—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Bayesian Numerical Methods for Nonlinear Partial Differential Equations—0
Bayesian ODE Solvers: The Maximum A Posteriori Estimate—0
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration—0
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics—0
Bayesian Perceptron: Towards fully Bayesian Neural Networks—0
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems—0
Bayesian Physics Informed Neural Networks for Linear Inverse problems—0
Bayesian Policy Search for Stochastic Domains—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Bayesian posterior approximation via greedy particle optimization—0
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics—0
Bayesian Prediction-Powered Inference—0
Bayesian Predictive Coding—0
Bayesian Probabilistic Matrix Factorization—0
Show:102550
← PrevPage 75 of 90Next →

Benchmark Results

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