SOTAVerified

Bayesian Inference

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

Papers

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Showing 2201–2226 of 2226 papers

TitleStatusHype
Uncertainty-aware generative models for inferring document class prevalenceCode0
Uncertainty-Aware Meta-Learning for Multimodal Task DistributionsCode0
Practical calibration of the temperature parameter in Gibbs posteriorsCode0
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Kernel Semi-Implicit Variational InferenceCode0
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
The Benefit of Being Bayesian in Online Conformal PredictionCode0
Bayesian Convolutional Neural Networks for Compressed Sensing RestorationCode0
Bayesian Prediction of Future Street Scenes using Synthetic LikelihoodsCode0
Amortized Bayesian Inference of GISAXS Data with Normalizing FlowsCode0
Improving Neural Additive Models with Bayesian PrinciplesCode0
Laplace approximation for logistic Gaussian process density estimation and regressionCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Large-Scale Stochastic Sampling from the Probability SimplexCode0
Adversarial robustness of amortized Bayesian inferenceCode0
Learning Asymmetric and Local Features in Multi-Dimensional Data through Wavelets with Recursive PartitioningCode0
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic ProgrammingCode0
Latent SDEs on Homogeneous SpacesCode0
Infinite-dimensional Diffusion Bridge Simulation via Operator LearningCode0
ZhuSuan: A Library for Bayesian Deep LearningCode0
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual RepresentationsCode0
The computational asymptotics of Gaussian variational inference and the Laplace approximationCode0
Predictive Collective Variable Discovery with Deep Bayesian ModelsCode0
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Benchmark Results

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