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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 1–50 of 2226 papers

TitleStatusHype
BlackJAX: Composable Bayesian inference in JAXCode5
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
sbi reloaded: a toolkit for simulation-based inference workflowsCode4
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow NetworksCode2
pymdp: A Python library for active inference in discrete state spacesCode2
BayesFlow: Amortized Bayesian Workflows With Neural NetworksCode2
Statistical Machine Learning for Astronomy -- A TextbookCode2
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient FlowsCode2
All-in-one simulation-based inferenceCode2
Simulation-Based Inference for Global Health DecisionsCode2
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingCode2
Outlier-robust Kalman Filtering through Generalised BayesCode2
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparisonCode2
Demonstration of Robust and Efficient Quantum Property Learning with Shallow ShadowsCode2
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse ProblemsCode2
BSD: a Bayesian framework for parametric models of neural spectraCode2
Bayesian Flow NetworksCode2
Aligning language models with human preferencesCode2
Complete parameter inference for GW150914 using deep learningCode1
Can Transformers Learn Full Bayesian Inference in Context?Code1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy imagesCode1
A Bayesian algorithm for retrosynthesisCode1
Amortizing intractable inference in large language modelsCode1
Calibrating Transformers via Sparse Gaussian ProcessesCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Amortized Monte Carlo IntegrationCode1
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU NetworksCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningCode1
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context LearningCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Bayesian Coresets: Revisiting the Nonconvex Optimization PerspectiveCode1
A friendly introduction to triangular transportCode1
Bayesian differential programming for robust systems identification under uncertaintyCode1
A Bit More Bayesian: Domain-Invariant Learning with UncertaintyCode1
BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential EquationsCode1
Bayesian continual learning and forgetting in neural networksCode1
Accelerated Bayesian SED Modeling using Amortized Neural Posterior EstimationCode1
Understanding and Accelerating Particle-Based Variational InferenceCode1
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
BayesDLL: Bayesian Deep Learning LibraryCode1
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Benchmark Results

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