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Bayesian Neural Networks
Bayesian Neural Networks
PulseAugur coverage of Bayesian Neural Networks — every cluster mentioning Bayesian Neural Networks across labs, papers, and developer communities, ranked by signal.
Total · 30d
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Releases · 30d
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Papers · 30d
7
7 over 90d
TIER MIX · 90D
RECENT · PAGE 1/1 · 2 TOTAL
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New theory explores Bayesian Neural Networks with dependent weights
Researchers have developed a new theoretical framework for understanding Bayesian Neural Networks (BNNs) with dependent weights. This work extends previous findings by analyzing the posterior distribution of BNN outputs…
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New SSLA method improves Bayesian model uncertainty quantification
Researchers have developed a new method called Self-Supervised Laplace Approximation (SSLA) to directly approximate the posterior predictive distribution in Bayesian models. This approach draws inspiration from self-tra…