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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 301–350 of 2226 papers

TitleStatusHype
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Bayesian Inference for Optimal Transport with Stochastic Cost—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach—0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning—0
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation—0
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks—0
A Deep Learning Approach to Dst Index Prediction—0
A normative theory of social conflict—0
A Bayesian/Information Theoretic Model of Bias Learning—0
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition—0
Bayesian Inference for Gamma Models—0
Bayesian Inference for Large Scale Image Classification—0
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions—0
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference—0
An Interpretable Neural Network for Parameter Inference—0
Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain—0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
A New Parameterized Family of Stochastic Particle Flow Filters—0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
A Neural Implementation of the Kalman Filter—0
Adaptive quadrature schemes for Bayesian inference via active learning—0
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models—0
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning—0
Bayesian inference for dynamic spatial quantile models with interactive effects—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
Data Augementation with Polya Inverse Gamma—0
Bayesian Inference in Sparse Gaussian Graphical Models—0
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods—0
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals—0
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
Adaptive particle-based approximations of the Gibbs posterior for inverse problems—0
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
An easy-to-use empirical likelihood ABC method—0
Learning in Volatile Environments with the Bayes Factor Surprise—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network—0
Analyzing human feature learning as nonparametric Bayesian inference—0
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
Bayesian inference as a cross-linguistic word segmentation strategy: Always learning useful things—0
Adaptive mitigation of time-varying quantum noise—0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference—0
Bayesian Inference Accelerator for Spiking Neural Networks—0
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Benchmark Results

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