SOTAVerified

Bayesian Inference

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

Papers

Showing 101150 of 2226 papers

TitleStatusHype
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte CarloCode1
Knowledge Removal in Sampling-based Bayesian InferenceCode1
A Bayesian algorithm for retrosynthesisCode1
Learning to Generalize across Domains on Single Test SamplesCode1
Listening to the Noise: Blind Denoising with Gibbs DiffusionCode1
Locally Learned Synaptic Dropout for Complete Bayesian InferenceCode1
Meta-Learned Models of CognitionCode1
Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in GermanyCode1
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive ModelsCode1
Neural Variational Gradient DescentCode1
Bayesian Inference with Latent Hamiltonian Neural NetworksCode1
Out-of-Distribution Detection Using Union of 1-Dimensional SubspacesCode1
Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space modelsCode1
Persistent Sampling: Enhancing the Efficiency of Sequential Monte CarloCode1
Physics-Informed Gaussian Process Regression Generalizes Linear PDE SolversCode1
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian InferenceCode1
Validated Variational Inference via Practical Posterior Error BoundsCode1
A friendly introduction to triangular transportCode1
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modellingCode1
Probabilistic AutoencoderCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Projected Stein Variational Gradient DescentCode1
PyVBMC: Efficient Bayesian inference in PythonCode1
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative ModelsCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
Bayesian Diffusion Models for 3D Shape ReconstructionCode1
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU NetworksCode1
BayesFlow: Learning complex stochastic models with invertible neural networksCode1
Bayesian Adversarial Human Motion SynthesisCode1
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian InferenceCode1
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief PropagationCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Bayesian differential programming for robust systems identification under uncertaintyCode1
BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential EquationsCode1
BayesDLL: Bayesian Deep Learning LibraryCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Bayesian continual learning and forgetting in neural networksCode1
A Probabilistic State Space Model for Joint Inference from Differential Equations and DataCode1
A Primer on Bayesian Neural Networks: Review and DebatesCode1
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
Calibrating Transformers via Sparse Gaussian ProcessesCode1
Complete parameter inference for GW150914 using deep learningCode1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reductionCode1
Continual Learning via Sequential Function-Space Variational InferenceCode1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
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Benchmark Results

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