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 261–270 of 2226 papers

TitleStatusHype
Localized Schrödinger Bridge Sampler—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Triple equivalence for the emergence of biological intelligenceCode1
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
Amortized Bayesian Workflow (Extended Abstract)—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Inverse decision-making using neural amortized Bayesian actorsCode0
Stein transport for Bayesian inference—0
A Stochastic Robust Adaptive Systems Level Approach to Stabilizing Large-Scale Uncertain Markovian Jump Linear Systems—0
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Benchmark Results

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