SOTAVerified

Bayesian Inference

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

Papers

Showing 15011550 of 2226 papers

TitleStatusHype
Stochastic triangular mesh mapping: A terrain mapping technique for autonomous mobile robots0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization0
Inference of a mesoscopic population model from population spike trainsCode0
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models0
The Neural Moving Average Model for Scalable Variational Inference of State Space ModelsCode0
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition0
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference0
Non-Gaussian processes and neural networks at finite widths0
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational InferenceCode1
Debiased Bayesian inference for average treatment effectsCode0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex0
Meta-Learning for Variational Inference0
Mixture Distributions for Scalable Bayesian Inference0
Learning Curves for Deep Neural Networks: A field theory perspective0
Gaussian Process Meta-Representations Of Neural Networks0
On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks0
Quantifying uncertainty with GAN-based priors0
Refining the variational posterior through iterative optimization0
Deep Bayesian Structure NetworksCode0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)0
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control0
Learn to Estimate Labels Uncertainty for Quality Assurance0
Compositional uncertainty in deep Gaussian processesCode0
Bayesian inference of species trees using diffusion modelsCode0
Prediction Uncertainty Estimation for Hate Speech Classification0
GAN priors for Bayesian inference0
Adversarial α-divergence Minimization for Bayesian Approximate InferenceCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Spike Sorting using the Neural Clustering ProcessCode0
Efficient Bayesian synthetic likelihood with whitening transformations0
Correcting Predictions for Approximate Bayesian InferenceCode0
Evaluating Topic Quality with Posterior VariabilityCode0
Accelerated Information Gradient flowCode0
On the Expressiveness of Approximate Inference in Bayesian Neural NetworksCode0
Variationally Inferred Sampling Through a Refined Bound for Probabilistic ProgramsCode0
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in GlaucomaCode0
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing0
Bayesian posterior repartitioning for nested samplingCode0
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control0
Convergence Rates of Variational Inference in Sparse Deep Learning0
Bayesian Inference for Large Scale Image Classification0
Variational Bayes on ManifoldsCode0
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm0
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement0
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI0
Bayesian Inference with Generative Adversarial Network Priors0
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Benchmark Results

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