SOTAVerified

Bayesian Inference

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

Papers

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Showing 1711–1720 of 2226 papers

TitleStatusHype
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal LayersCode0
Learning Differentiable Particle Filter on the FlyCode0
Bayesian Conditional Density FilteringCode0
Deep Active Inference as Variational Policy GradientsCode0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data CorruptionsCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Deep Bayesian Structure NetworksCode0
Data-driven Approach for Interpolation of Sparse DataCode0
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform InversionCode0
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Benchmark Results

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