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 651–700 of 2226 papers

TitleStatusHype
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern—0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis—0
Simulation-based Bayesian Inference from Privacy Protected DataCode0
Fine-Tuning Generative Models as an Inference Method for Robotic TasksCode0
Bayesian Flow Networks in Continual Learning—0
Sensitivity-Aware Amortized Bayesian InferenceCode0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance—0
Worst-Case Analysis is Maximum-A-Posteriori Estimation—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
A time-varying finance-led model for U.S. business cycles—0
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian InferenceCode0
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs—0
Variational Inference for GARCH-family Models—0
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays—0
Towards a Unified Framework for Sequential Decision Making—0
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent—0
Statistical physics, Bayesian inference and neural information processing—0
A Metaheuristic for Amortized Search in High-Dimensional Parameter SpacesCode0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
Entropic Matching for Expectation Propagation of Markov Jump Processes—0
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth—0
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesCode0
Bounded rationality in structured density estimation—0
Bounded rationality in structured density estimation—0
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing FlowsCode0
MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference—0
Physics-informed Bayesian inference of external potentials in classical density-functional theory—0
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks—0
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception—0
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains—0
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networksCode0
Bayesian inference of composition-dependent phase diagrams—0
PAVI: Plate-Amortized Variational Inference—0
Heterogeneous Multi-Task Gaussian Cox ProcessesCode0
Deep Learning and Bayesian inference for Inverse Problems—0
A transport approach to sequential simulation-based inference—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
Variational Density Propagation Continual Learning—0
Linking fast and slow: the case for generative models—0
On Exact Bayesian Credible Sets for Classification and Pattern Recognition—0
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental DesignCode0
Semi-Implicit Variational Inference via Score MatchingCode0
Accelerated Bayesian imaging by relaxed proximal-point Langevin samplingCode0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Adaptive mitigation of time-varying quantum noise—0
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
Show:102550
← PrevPage 14 of 45Next →

Benchmark Results

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