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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 401–450 of 2226 papers

TitleStatusHype
DART: Depth-Enhanced Accurate and Real-Time Background Matting—0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling—0
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability—0
BlackJAX: Composable Bayesian inference in JAXCode5
Semi-parametric financial risk forecasting incorporating multiple realized measures—0
Improvement and generalization of ABCD method with Bayesian inference—0
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing—0
A Factor Graph Model of Trust for a Collaborative Multi-Agent System—0
SMC Is All You Need: Parallel Strong Scaling—0
Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningCode1
Diffusive Gibbs SamplingCode1
Recent methods from statistical inference and machine learning to improve integrative modeling of macromolecular assemblies—0
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo—0
Incoherent Probability Judgments in Large Language Models—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration—0
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of MultipliersCode0
Bayesian Inference Accelerator for Spiking Neural Networks—0
Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space modelsCode1
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
Quantifying cell cycle regulation by tissue crowdingCode0
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks—0
Stable generative modeling using Schrödinger bridges—0
Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis—0
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration—0
A Compact Representation for Bayesian Neural Networks By Removing Permutation SymmetryCode0
Tractable Function-Space Variational Inference in Bayesian Neural NetworksCode0
Continual Learning via Sequential Function-Space Variational InferenceCode1
Deep de Finetti: Recovering Topic Distributions from Large Language Models—0
Bayesian Analysis of Combinatorial Gaussian Process Bandits—0
Diffusion Models With Learned Adaptive NoiseCode1
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations—0
Distributed Bayesian Inference for Large-Scale IoT Systems—0
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration—0
Gaussian process learning of nonlinear dynamicsCode1
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis—0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?—0
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive SpaceCode0
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief PropagationCode1
Bayesian Metaplasticity from Synaptic Uncertainty—0
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling—0
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference—0
Learning Differentiable Particle Filter on the FlyCode0
Uncertainty Quantification and Propagation in Surrogate-based Bayesian InferenceCode1
nbi: the Astronomer's Package for Neural Posterior Estimation—0
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian PerspectiveCode1
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal LayersCode0
Bayesian causal discovery from unknown general interventionsCode0
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Benchmark Results

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