SOTAVerified

Bayesian Inference

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

Papers

Showing 17511775 of 2226 papers

TitleStatusHype
A Novel Deterministic Framework for Non-probabilistic Recommender SystemsCode0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM0
Cortical Microcircuits from a Generative Vision Model0
Efficient Bayesian Inference of Sigmoidal Gaussian Cox ProcessesCode0
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits0
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies0
Sprucing up the trees -- Error detection in treebanks0
Sampling-based probabilistic inference emerges from learning in neural circuits with a cost on reliability0
Automatic Bayesian Density Analysis0
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard ModelCode0
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methodsCode0
Online Label Aggregation: A Variational Bayesian Approach0
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture0
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process0
Accelerated physical emulation of Bayesian inference in spiking neural networks0
Rating Distributions and Bayesian Inference: Enhancing Cognitive Models of Spatial Language Use0
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)0
Scalable approximate Bayesian inference for particle tracking dataCode0
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference0
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology0
Random Feature Stein DiscrepanciesCode0
Large-Scale Stochastic Sampling from the Probability SimplexCode0
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning0
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Benchmark Results

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