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 276–300 of 2226 papers

TitleStatusHype
Array Partitioning Based Near-Field Attitude and Location Estimation—0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI—0
Segmentation with Noisy Labels via Spatially Correlated DistributionsCode0
Bayesian Sensing for Time-Varying Channels in ISAC Systems—0
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Robust and Scalable Variational BayesCode0
Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging—0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Power-scaled Bayesian Inference with Score-based Generative Models—0
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations—0
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biologyCode0
Uncertainty Propagation in the Fast Fourier TransformCode0
Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference—0
Advancing Autonomous Vehicle Safety: A Combined Fault Tree Analysis and Bayesian Network Approach—0
Programs as Singularities—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Stacking Variational Bayesian Monte Carlo—0
The challenge of uncertainty quantification of large language models in medicine—0
Probabilistic Position-Aided Beam Selection for mmWave MIMO Systems—0
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models—0
HomeEmergency -- Using Audio to Find and Respond to Emergencies in the Home—0
Bayesian Predictive Coding—0
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Benchmark Results

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