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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 101–125 of 2226 papers

TitleStatusHype
How To Make Your Cell Tracker Say "I dunno!"—0
Efficient Membership Inference Attacks by Bayesian Neural Network—0
HIF: Height Interval Filtering for Efficient Dynamic Points Removal—0
From Theory to Application: A Practical Introduction to Neural Operators in Scientific ComputingCode1
Poisoning Bayesian Inference via Data Deletion and Replication—0
Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference—0
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy—0
Bayesian inference for dynamic spatial quantile models with interactive effects—0
From Understanding the World to Intervening in It: A Unified Multi-Scale Framework for Embodied CognitionCode0
Multi-model Stochastic Particle-based Variational Bayesian Inference for Multiband Delay Estimation—0
Modeling cell differentiation in neuroblastoma: insights into development, malignancy, and treatment relapse—0
Dynamics on Lie groups with applications to attitude estimation—0
AI-Powered Bayesian Inference—0
Modeling Neural Activity with Conditionally Linear Dynamical SystemsCode1
Near-Optimal Approximations for Bayesian Inference in Function SpaceCode0
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Confidence Estimation via Sequential Likelihood Mixing—0
Generalization Certificates for Adversarially Robust Bayesian Linear Regression—0
Near-Field Motion Parameter Estimation: A Variational Bayesian Approach—0
Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs—0
Bayesian Physics Informed Neural Networks for Linear Inverse problems—0
Bayesian inference from time series of allele frequency data using exact simulation techniques—0
In-Context Parametric Inference: Point or Distribution Estimators?—0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Multifidelity Simulation-based Inference for Computationally Expensive Simulators—0
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Benchmark Results

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