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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 701–750 of 2226 papers

TitleStatusHype
Gradient-Based Markov Chain Monte Carlo for MIMO Detection—0
A Review of Change of Variable Formulas for Generative Modeling—0
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure—0
Pruning a neural network using Bayesian inference—0
A digital twin framework for civil engineering structuresCode0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
The Bayesian Context Trees State Space Model for time series modelling and forecasting—0
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization ProblemsCode0
A theory of data variability in Neural Network Bayesian inference—0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty—0
Amortized Variational Inference: When and Why?Code0
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data—0
Flexible and efficient emulation of spatial extremes processes via variational autoencodersCode0
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review—0
Variational Prediction—0
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout—0
Bayesian taut splines for estimating the number of modes—0
A generative flow for conditional sampling via optimal transportCode0
Incentive-Theoretic Bayesian Inference for Collaborative Science—0
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference—0
Representation Learning via Variational Bayesian Networks—0
Latent SDEs on Homogeneous SpacesCode0
Predictive Coding beyond Correlations—0
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data—0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias—0
Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication—0
Push: Concurrent Probabilistic Programming for Bayesian Deep LearningCode0
Bayesian Knowledge-driven Critiquing with Indirect Evidence—0
In-Context Learning through the Bayesian PrismCode0
Entropy-based Training Methods for Scalable Neural Implicit Sampler—0
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic ProgrammingCode0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesCode0
Robust Bayesian Inference for Berkson and Classical Measurement Error Models—0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
On Mixing Rates for Bayesian CART—0
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study—0
Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
A Bayesian sparse factor model with adaptive posterior concentration—0
Bayesian inference and neural estimation of acoustic wave propagation—0
Improving Neural Additive Models with Bayesian PrinciplesCode0
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty—0
Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks—0
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo AlgorithmsCode0
Adversarial robustness of amortized Bayesian inferenceCode0
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceCode0
Bayesian calibration of differentiable agent-based models—0
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Benchmark Results

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