SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Showing 601650 of 2226 papers

TitleStatusHype
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks0
Stable generative modeling using Schrödinger bridges0
Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis0
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration0
A Compact Representation for Bayesian Neural Networks By Removing Permutation SymmetryCode0
Tractable Function-Space Variational Inference in Bayesian Neural NetworksCode0
Deep de Finetti: Recovering Topic Distributions from Large Language Models0
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations0
Bayesian Analysis of Combinatorial Gaussian Process Bandits0
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration0
Distributed Bayesian Inference for Large-Scale IoT Systems0
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis0
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?0
Bayesian Metaplasticity from Synaptic Uncertainty0
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive SpaceCode0
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling0
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference0
Learning Differentiable Particle Filter on the FlyCode0
nbi: the Astronomer's Package for Neural Posterior Estimation0
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
Spinal Muscle Atrophy Disease Modelling as Bayesian Network0
A Metalearned Neural Circuit for Nonparametric Bayesian InferenceCode0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia0
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimationCode0
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry0
Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks0
Bayesian mechanics of self-organising systems0
Bayes in the age of intelligent machines0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
The Hyperdimensional Transform for Distributional Modelling, Regression and ClassificationCode0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
Joint Location Sensing and Channel Estimation for IRS-Aided mmWave ISAC Systems0
BClean: A Bayesian Data Cleaning SystemCode0
Operational modal analysis of under-determined system based on Bayesian CP decomposition0
Conditional Optimal Transport on Function SpacesCode0
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem0
Flexible Bayesian Inference on Partially Observed Epidemics0
Riemannian Laplace Approximation with the Fisher MetricCode0
Robust and Conjugate Gaussian Process RegressionCode0
Projecting basis functions with tensor networks for Gaussian process regression0
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks0
Inferring to C or not to C: Evolutionary games with Bayesian inferential strategies0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning0
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Benchmark Results

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