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 351–375 of 2226 papers

TitleStatusHype
Network reconstruction via the minimum description length principle—0
CoS: Enhancing Personalization and Mitigating Bias with Context SteeringCode1
Variational Neuron Shifting for Few-Shot Image Classification Across Domains—0
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design—0
Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks—0
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing ConstantsCode0
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements—0
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential EquationsCode1
Uncertainty in latent representations of variational autoencoders optimized for visual tasksCode0
Variational Bayesian surrogate modelling with application to robust design optimisation—0
Scalable Data Assimilation with Message PassingCode0
Underdetermined DOA Estimation of Off-Grid Sources Based on the Generalized Double Pareto Prior—0
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models—0
Neural Methods for Amortized Inference—0
Aligning language models with human preferencesCode2
Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference—0
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
All-in-one simulation-based inferenceCode2
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learningCode0
Bayesian Federated Model Compression for Communication and Computation Efficiency—0
Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object MeasurementsCode0
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
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Benchmark Results

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