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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 51–75 of 2226 papers

TitleStatusHype
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
Ensemble Kalman filter for uncertainty in human language comprehension—0
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties—0
Bayesian Robust Aggregation for Federated LearningCode0
Data-driven Approach for Interpolation of Sparse DataCode0
Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges—0
Array Partitioning Based Near-Field Attitude and Location Estimation—0
Bayesian Sensing for Time-Varying Channels in ISAC Systems—0
Segmentation with Noisy Labels via Spatially Correlated DistributionsCode0
Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI—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
Bayesian continual learning and forgetting in neural networksCode1
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
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
Power-scaled Bayesian Inference with Score-based Generative Models—0
Uncertainty Propagation in the Fast Fourier TransformCode0
Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference—0
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Benchmark Results

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