SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1500 of 2226 papers

TitleStatusHype
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Variational Inference Using Material Point Method—0
Variational Inference via Smoothed Particle Hydrodynamics—0
Variational Multi-Task Learning—0
Variational Neuron Shifting for Few-Shot Image Classification Across Domains—0
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance—0
Variational Prediction—0
Variational Predictive Information Bottleneck—0
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Variational Tracking and Prediction with Generative Disentangled State-Space Models—0
Variation Bayesian Interference for Multiple Extended Targets or Unresolved Group Targets Tracking—0
Varying-coefficient models with isotropic Gaussian process priors—0
Vector autoregression models with skewness and heavy tails—0
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference—0
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference—0
Verbalized Probabilistic Graphical Modeling with Large Language Models—0
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality—0
Walsh-Hadamard Variational Inference for Bayesian Deep Learning—0
Wasserstein Measure Coresets—0
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference—0
Wasserstein Variational Inference—0
WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale—0
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
Webservices for Bayesian Learning—0
Weighted Community Detection and Data Clustering Using Message Passing—0
Weighted Mean Curvature—0
What does the free energy principle tell us about the brain?—0
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution—0
Why bigger is not always better: on finite and infinite neural networks—0
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits—0
Worst-Case Analysis is Maximum-A-Posteriori Estimation—0
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors—0
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo—0
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting—0
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning—0
Meta-Posterior Consistency for the Bayesian Inference of Metastable System—0
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability—0
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning—0
A Bayesian Analysis of Dynamics in Free Recall—0
A Bayesian Approach for Accurate Classification-Based Aggregates—0
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data—0
A Bayesian Approach To Graph Partitioning—0
A Bayesian Approach to Identifying Representational Errors—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task—0
Show:102550
← PrevPage 30 of 45Next →

Benchmark Results

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