SOTAVerified

Bayesian Inference

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

Papers

Showing 701750 of 2226 papers

TitleStatusHype
Accelerated MM Algorithms for Ranking Scores Inference from Comparison DataCode0
Differentially Private Bayesian Learning on Distributed DataCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net ModelsCode0
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functionsCode0
Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural NetworksCode0
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interactionCode0
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning AlgorithmsCode0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
Correcting Predictions for Approximate Bayesian InferenceCode0
Detecting structural perturbations from time series with deep learningCode0
Differentially Private Bayesian Inference for Exponential FamiliesCode0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?Code0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional DataCode0
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Analysis of Markov Jump Processes under Terminal ConstraintsCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Bayesian Neural Networks at Finite TemperatureCode0
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
Deep Neural Networks as Gaussian ProcessesCode0
A Scalable Laplace Approximation for Neural NetworksCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Predictive Collective Variable Discovery with Deep Bayesian ModelsCode0
Data-driven Approach for Interpolation of Sparse DataCode0
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsCode0
Stein Point Markov Chain Monte CarloCode0
Probing as Quantifying Inductive BiasCode0
Data Subsampling for Bayesian Neural NetworksCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Debiased Bayesian inference for average treatment effectsCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Quantifying tissue growth, shape and collision via continuum models and Bayesian inferenceCode0
Quantile Propagation for Wasserstein-Approximate Gaussian ProcessesCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Efficient and Transferable Adversarial Examples from Bayesian Neural NetworksCode0
Logistic Variational Bayes RevisitedCode0
Robust probabilistic inference via a constrained transport metricCode0
Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures0
A sampling-based circuit for optimal decision making0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport0
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making0
Array Partitioning Based Near-Field Attitude and Location Estimation0
A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs0
Bayesian Metaplasticity from Synaptic Uncertainty0
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Benchmark Results

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