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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
Simulation-based Bayesian inference for robotic grasping—0
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal MetricsCode0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering—0
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamicsCode0
A normative theory of social conflict—0
Bayesian inference with finitely wide neural networks—0
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics—0
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
Deep Learning Enhanced Realized GARCHCode0
Parameters for > 300 million Gaia stars: Bayesian inference vs. machine learning—0
Event Temporal Relation Extraction with Bayesian Translational Model—0
Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis—0
Trading Information between Latents in Hierarchical Variational AutoencodersCode0
Geometry of Score Based Generative Models—0
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration—0
Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field—0
Quantifying tissue growth, shape and collision via continuum models and Bayesian inferenceCode0
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexityCode0
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity—0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination—0
Classified as unknown: A novel Bayesian neural network—0
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
Robust Gaussian Process Regression with Huber Likelihood—0
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems—0
Reinforcement Learning Enhanced PicHunter for Interactive Search—0
On Sequential Bayesian Inference for Continual LearningCode0
Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo—0
Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications—0
Bayesian Interpolation with Deep Linear Networks—0
Do Bayesian Variational Autoencoders Know What They Don't Know?Code0
The Inverse of Exact Renormalization Group Flows as Statistical Inference—0
Bistable perception, precision and neuromodulationCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework—0
Bayesian data fusion with shared priors—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
PRISM: Probabilistic Real-Time Inference in Spatial World Models—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems—0
Are you using test log-likelihood correctly?—0
Trust and Time Preference: Measuring a Causal Effect in a Random-Assignment Experiment—0
Double Robust Bayesian Inference on Average Treatment Effects—0
A Search and Detection Autonomous Drone System: from Design to Implementation—0
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Benchmark Results

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