Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 276–300 of 2226 papers

Title	Date	Tasks	Status	Score
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering	Jan 31, 2017	Bayesian InferenceClustering	CodeCode Available	5
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
A digital twin framework for civil engineering structures	Aug 2, 2023	Bayesian InferenceCantilever Beam	CodeCode Available	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	5
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy	May 20, 2018	Bayesian InferenceDeep Learning	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk	May 21, 2019	Bayesian InferenceBenchmarking	CodeCode Available	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	5
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items	Jan 7, 2022	Bayesian InferenceDecoder	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
A Novel Deterministic Framework for Non-probabilistic Recommender Systems	Sep 2, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Accelerated Stein Variational Gradient Flow	Mar 30, 2025	Bayesian Inference	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems	Apr 5, 2022	Bayesian Inference	CodeCode Available	5
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion	Oct 17, 2024	Bayesian InferenceVariational Inference	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
Accelerated Information Gradient flow	Sep 4, 2019	Bayesian Inference	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?	Apr 12, 2021	Bayesian InferenceGeneral Classification	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified