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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 1551–1600 of 2226 papers

TitleStatusHype
Improving Graph Out-of-distribution Generalization on Real-world Data—0
Incentive-Theoretic Bayesian Inference for Collaborative Science—0
Incoherent Probability Judgments in Large Language Models—0
In-context Exploration-Exploitation for Reinforcement Learning—0
Explaining Emergent In-Context Learning as Kernel Regression—0
In-Context Parametric Inference: Point or Distribution Estimators?—0
Incorporating Bayesian approaches in Deep Learning Research—0
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers—0
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing—0
Inference in continuous-time change-point models—0
Inference of epidemiological parameters from household stratified data—0
Inferential Moments of Uncertain Multivariable Systems—0
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling—0
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach—0
Inferring perceptual decision making parameters from behavior in production and reproduction tasks—0
Inferring to C or not to C: Evolutionary games with Bayesian inferential strategies—0
Classifying Turbulent Environments via Machine Learning—0
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals—0
Infinite Latent SVM for Classification and Multi-task Learning—0
InfoNCE is variational inference in a recognition parameterised model—0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty—0
Information Threshold, Bayesian Inference and Decision-Making—0
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis—0
Integrating time-resolved nrf2 gene-expression data into a full GUTS model as a proxy for toxicodynamic damage in zebrafish embryo—0
Interacting Large Language Model Agents. Interpretable Models and Social Learning—0
Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage—0
Interpreting Deep Classification Models With Bayesian Inference—0
Interpreting Dynamical Systems as Bayesian Reasoners—0
Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference—0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
Simulator Calibration under Covariate Shift with Kernels—0
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference—0
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs—0
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference—0
Is there a wave excitation in the Thalamus?—0
Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference—0
Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors—0
Joint Channel and Data Estimation for Multiuser Extremely Large-Scale MIMO Systems—0
Joint Location Sensing and Channel Estimation for IRS-Aided mmWave ISAC Systems—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
Joint Positioning and Radio Map Generation Based on Stochastic Variational Bayesian Inference for FWIPS—0
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections—0
Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field—0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme—0
Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP—0
Judging LLMs on a Simplex—0
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs—0
Kalman Bayesian Neural Networks for Closed-form Online Learning—0
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Benchmark Results

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