SOTAVerified

Bayesian Inference

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

Papers

Showing 17511800 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
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Reconstructing networks with unknown and heterogeneous errors0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-DivergencesCode0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference0
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing0
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement LearningCode0
Efficient Bayesian Inference for a Gaussian Process Density Model0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Wasserstein Variational Inference0
Semi-Implicit Variational InferenceCode0
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic ProgrammingCode0
Likelihood-free inference with emulator networksCode0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings0
Bayesian posterior approximation via greedy particle optimization0
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopyCode0
Nonparametric Bayesian Deep Networks with Local CompetitionCode0
Approximate Bayesian inference in spatial environments0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
Wasserstein Measure Coresets0
Spatial Uncertainty Sampling for End-to-End Control0
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo0
Subsampling Sequential Monte Carlo for Static Bayesian Models0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
A Channel-based Exact Inference Algorithm for Bayesian Networks0
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Benchmark Results

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