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
Simulation-based Bayesian inference for robotic grasping—0
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal MetricsCode0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamicsCode0
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering—0
A normative theory of social conflict—0
Bayesian inference with finitely wide neural networks—0
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics—0
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
Deep Learning Enhanced Realized GARCHCode0
Parameters for > 300 million Gaia stars: Bayesian inference vs. machine learning—0
Event Temporal Relation Extraction with Bayesian Translational Model—0
Geometry of Score Based Generative Models—0
Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis—0
Trading Information between Latents in Hierarchical Variational AutoencodersCode0
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration—0
Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field—0
Quantifying tissue growth, shape and collision via continuum models and Bayesian inferenceCode0
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexityCode0
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity—0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Classified as unknown: A novel Bayesian neural network—0
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
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Benchmark Results

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