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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 26–50 of 2226 papers

TitleStatusHype
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