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 801–825 of 2226 papers

TitleStatusHype
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Discriminative Relational Topic Models—0
Belief patterns with information processing—0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
A transport approach to sequential simulation-based inference—0
Distilling Calibration via Conformalized Credal Inference—0
Bayesian inference as iterated random functions with applications to sequential inference in graphical models—0
Bayesian Inference by Symbolic Model Checking—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks—0
Distributed Bayesian Inference for Large-Scale IoT Systems—0
Efficient posterior inference & generalization in physics-based Bayesian inference with conditional GANs—0
Distributed Variational Bayesian Algorithms Over Sensor Networks—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Distribution learning via neural differential equations: minimal energy regularization and approximation theory—0
Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity—0
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation—0
Elements of Sequential Monte Carlo—0
Divide, Conquer, Combine Bayesian Decision Tree Sampling—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?—0
Entropic Matching for Expectation Propagation of Markov Jump Processes—0
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Benchmark Results

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