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 251–300 of 2226 papers

TitleStatusHype
Position: The Future of Bayesian Prediction Is Prior-Fitted—0
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
Judging LLMs on a Simplex—0
TabPFN: One Model to Rule Them All?Code0
Bayesian Deep Learning for Discrete Choice—0
Generalized Power Priors for Improved Bayesian Inference with Historical Data—0
Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference—0
Compositional amortized inference for large-scale hierarchical Bayesian models—0
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation—0
Understanding Task Representations in Neural Networks via Bayesian Ablation—0
SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation GenerationCode0
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods—0
Variational Bayesian Inference for Time-Varying Massive MIMO Channels: Estimation and Detection—0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference NetworkCode0
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties—0
Ensemble Kalman filter for uncertainty in human language comprehension—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
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