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 76–100 of 2226 papers

Title	Date	Tasks	Status	Hype
Eryn : A multi-purpose sampler for Bayesian inference	Mar 3, 2023	AstronomyBayesian Inference	CodeCode Available	1
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets	Feb 8, 2023	Bayesian InferenceCausal Discovery	CodeCode Available	1
Memory-Based Meta-Learning on Non-Stationary Distributions	Feb 6, 2023	Bayesian InferenceMeta-Learning	CodeCode Available	1
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models	Feb 2, 2023	Bayesian Inferencecompressed sensing	CodeCode Available	1
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series	Jan 26, 2023	Bayesian InferenceImputation	CodeCode Available	1
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers	Dec 23, 2022	Bayesian Inferenceregression	CodeCode Available	1
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive Models	Nov 23, 2022	Bayesian InferenceTime Series	CodeCode Available	1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance	Nov 18, 2022	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Fast and robust Bayesian Inference using Gaussian Processes with GPry	Nov 3, 2022	Active LearningBayesian Inference	CodeCode Available	1
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping	Sep 21, 2022	Bayesian Inference	CodeCode Available	1
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference	Sep 19, 2022	Bayesian InferencePhysics-informed machine learning	CodeCode Available	1
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case	Aug 31, 2022	Bayesian InferenceGaussian Processes	CodeCode Available	1
Bayesian Inference with Latent Hamiltonian Neural Networks	Aug 12, 2022	Bayesian Inference	CodeCode Available	1
Reliable amortized variational inference with physics-based latent distribution correction	Jul 24, 2022	Bayesian InferenceSeismic Imaging	CodeCode Available	1
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images	Jul 12, 2022	Bayesian InferenceGPU	CodeCode Available	1
Laplacian Autoencoders for Learning Stochastic Representations	Jun 30, 2022	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	1
Personalized Federated Learning via Variational Bayesian Inference	Jun 16, 2022	Bayesian InferenceDiversity	CodeCode Available	1
Scalable Deep Gaussian Markov Random Fields for General Graphs	Jun 10, 2022	Bayesian InferenceVariational Inference	CodeCode Available	1
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination	Jun 9, 2022	Bayesian InferenceNumerical Integration	CodeCode Available	1
Variational inference via Wasserstein gradient flows	May 31, 2022	Bayesian InferenceVariational Inference	CodeCode Available	1
Marginal Post Processing of Bayesian Inference Products with Normalizing Flows and Kernel Density Estimators	May 25, 2022	Bayesian InferenceExperimental Design	CodeCode Available	1
Zero-Shot Logit Adjustment	Apr 25, 2022	Bayesian InferenceGeneralized Zero-Shot Learning	CodeCode Available	1
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models	Apr 22, 2022	Bayesian InferenceImitation Learning	CodeCode Available	1
A Framework for Improving the Reliability of Black-box Variational Inference	Mar 29, 2022	Bayesian InferenceStochastic Optimization	CodeCode Available	1
Knowledge Removal in Sampling-based Bayesian Inference	Mar 24, 2022	Bayesian InferenceMachine Unlearning	CodeCode Available	1

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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