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 951–975 of 2226 papers

TitleStatusHype
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
PAVI: Plate-Amortized Variational Inference—0
On the safe use of prior densities for Bayesian model selection—0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
Unifying Summary Statistic Selection for Approximate Bayesian ComputationCode0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees—0
Functional Ensemble DistillationCode0
Information Threshold, Bayesian Inference and Decision-Making—0
Excess risk analysis for epistemic uncertainty with application to variational inference—0
Bayesian Inference of Stochastic Dynamical Networks—0
Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution—0
Robust Anytime Learning of Markov Decision ProcessesCode0
Bayesian Low-Rank Interpolative Decomposition for Complex Datasets—0
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning—0
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference—0
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate LikelihoodsCode0
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex OptimizationCode0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference—0
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQLCode0
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative ModelsCode0
Extended molt phenology models improve inferences about molt duration and timingCode0
Flexible and Hierarchical Prior for Bayesian Nonnegative Matrix Factorization—0
RL with KL penalties is better viewed as Bayesian inference—0
Parameters identification for an inverse problem arising from a binary option using a Bayesian inference approach—0
Show:102550
← PrevPage 39 of 90Next →

Benchmark Results

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