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Bayesian Inference

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

Papers

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Showing 201–250 of 2226 papers

TitleStatusHype
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
SAME but Different: Fast and High-Quality Gibbs Parameter EstimationCode1
Scalable Bayesian Inverse Reinforcement LearningCode1
Scalable Deep Gaussian Markov Random Fields for General GraphsCode1
Scalable Random Feature Latent Variable ModelsCode1
Bayesian Coresets: Revisiting the Nonconvex Optimization PerspectiveCode1
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious timeCode1
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All NetworksCode1
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact caseCode1
Stein Variational Gradient Descent: A General Purpose Bayesian Inference AlgorithmCode1
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters EstimationCode1
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsCode1
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modellingCode1
A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs—0
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes—0
Accurate Evaluation of Asset Pricing Under Uncertainty and Ambiguity of Information—0
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements—0
A Generalization Bound for Online Variational Inference—0
A Bayesian Perspective on the Maximum Score Problem—0
A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension—0
A Bayesian Approach for Accurate Classification-Based Aggregates—0
A rational decision making framework for inhibitory control—0
Automatic Variational Inference in Stan—0
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains—0
A Formal Calculus for International Relations Computation and Evaluation—0
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks—0
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables—0
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
A theory of representation learning gives a deep generalisation of kernel methods—0
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Probabilistic Model for Canonicalizing Named Entity Mentions—0
A Probabilistic Model of Social Decision Making based on Reward Maximization—0
A prediction rigidity formalism for low-cost uncertainties in trained neural networks—0
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models—0
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas—0
Accounting for contact network uncertainty in epidemic inferences—0
A Factor Graph Model of Trust for a Collaborative Multi-Agent System—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution—0
Are low frequency macroeconomic variables important for high frequency electricity prices?—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
A Bayesian Analysis of Dynamics in Free Recall—0
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Benchmark Results

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