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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 801–850 of 2226 papers

TitleStatusHype
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
Biases and Variability from Costly Bayesian Inference—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Discriminative Relational Topic Models—0
Bézier Curve Gaussian Processes—0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
Attention-Aware Answers of the Crowd—0
Distilling Calibration via Conformalized Credal Inference—0
Bayesian inference as iterated random functions with applications to sequential inference in graphical models—0
Bayesian Inference by Symbolic Model Checking—0
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering—0
Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks—0
Distributed Bayesian Inference for Large-Scale IoT Systems—0
A Bayesian take on option pricing with Gaussian processes—0
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Distribution learning via neural differential equations: minimal energy regularization and approximation theory—0
Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity—0
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation—0
A Trust-Region Method for Graphical Stein Variational Inference—0
Divide, Conquer, Combine Bayesian Decision Tree Sampling—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?—0
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach—0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation—0
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
Bayesian Inference for Large Scale Image Classification—0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
Belief patterns with information processing—0
A transport approach to sequential simulation-based inference—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data—0
EMHMM Simulation Study—0
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data—0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models—0
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control—0
Dynamic Calibration of Nonlinear Sensors with Time-Drifts and Delays by Bayesian Inference—0
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)—0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Epidemic mitigation by statistical inference from contact tracing data—0
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Benchmark Results

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