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Neural Likelihood Estimation
Neural Likelihood Estimation
PulseAugur coverage of Neural Likelihood Estimation — every cluster mentioning Neural Likelihood Estimation across labs, papers, and developer communities, ranked by signal.
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Papers · 30d
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RECENT · PAGE 1/1 · 2 TOTAL
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New method uses neural networks to enhance Hamiltonian Monte Carlo for inference
Researchers have introduced Neural Surrogate HMC, a novel method that integrates neural likelihood estimation with Hamiltonian Monte Carlo for simulation-based inference. This approach leverages neural networks to appro…
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New papers introduce Simulation-Based Empirical Bayes for scientific inference
Two new papers introduce Simulation-Based Empirical Bayes (SBEB), a method for performing simultaneous inference across related latent variables when the likelihood is only available through a simulator. The first paper…