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 726–750 of 2226 papers

TitleStatusHype
Bayesian data fusion with shared priors—0
Physics-constrained Bayesian inference of state functions in classical density-functional theory—0
Data-Driven Verification under Signal Temporal Logic Constraints—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction—0
Bayesian Deep Learning for Discrete Choice—0
Adaptive mitigation of time-varying quantum noise—0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Elements of Sequential Monte Carlo—0
BIBI: Bayesian Inference of Breed Composition—0
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo—0
Bottom-up data integration in polymer models of chromatin organisation—0
Bridging Privacy and Robustness for Trustworthy Machine Learning—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control—0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
Declarative Modeling and Bayesian Inference of Dark Matter Halos—0
Decoupled Variational Gaussian Inference—0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Deep Active Inference for Autonomous Robot Navigation—0
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Biases and Variability from Costly Bayesian Inference—0
Bézier Curve Gaussian Processes—0
Show:102550
← PrevPage 30 of 90Next →

Benchmark Results

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