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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 426–450 of 2226 papers

TitleStatusHype
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