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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 1326–1350 of 2226 papers

TitleStatusHype
Learning Manifold Implicitly via Explicit Heat-Kernel Learning—0
Bayesian Policy Search for Stochastic Domains—0
Towards Scalable Bayesian Learning of Causal DAGs—0
Amortized Conditional Normalized Maximum Likelihood—0
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference—0
Multilevel Gibbs Sampling for Bayesian Regression—0
On the representation and learning of monotone triangular transport mapsCode0
Partially Observable Online Change Detection via Smooth-Sparse Decomposition—0
Remote sensing image fusion based on Bayesian GAN—0
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference—0
Epidemic mitigation by statistical inference from contact tracing data—0
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelingCode0
Optimality of short-term synaptic plasticity in modelling certain dynamic environments—0
Density Estimation via Bayesian Inference Engines—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
Non-linear fitting with joint spatial regularization in Arterial Spin Labeling—0
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior—0
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution SettingsCode0
Bayesian Perceptron: Towards fully Bayesian Neural Networks—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
The linear conditional expectation in Hilbert space—0
Surrogate Model For Field Optimization Using Beta-VAE Based Regression—0
Blindness of score-based methods to isolated components and mixing proportions—0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles—0
Bayesian geoacoustic inversion using mixture density network—0
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Benchmark Results

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