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 676–700 of 2226 papers

TitleStatusHype
Quantifying tissue growth, shape and collision via continuum models and Bayesian inferenceCode0
Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field—0
Memory-Based Meta-Learning on Non-Stationary DistributionsCode1
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexityCode0
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity—0
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative ModelsCode1
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Classified as unknown: A novel Bayesian neural network—0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesCode1
Projective Integral Updates for High-Dimensional Variational InferenceCode0
Robust Gaussian Process Regression with Huber Likelihood—0
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems—0
Reinforcement Learning Enhanced PicHunter for Interactive Search—0
On Sequential Bayesian Inference for Continual LearningCode0
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo—0
Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications—0
Bayesian Interpolation with Deep Linear Networks—0
Do Bayesian Variational Autoencoders Know What They Don't Know?Code0
Physics-Informed Gaussian Process Regression Generalizes Linear PDE SolversCode1
The Inverse of Exact Renormalization Group Flows as Statistical Inference—0
Show:102550
← PrevPage 28 of 90Next →

Benchmark Results

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