Expectation--Maximization
PulseAugur coverage of Expectation--Maximization — every cluster mentioning Expectation--Maximization across labs, papers, and developer communities, ranked by signal.
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EMO framework enhances language model performance via iterative context optimization
Researchers have introduced EMO, a novel framework for test-time adaptation of language models. EMO employs an expectation-maximization approach, alternating between estimating context based on textual feedback and refi…
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New theory reinterprets Transformers as probabilistic inference models
Researchers have proposed a new interpretation of Transformer networks, viewing them as learned approximations of a hybrid probabilistic inference procedure. This procedure combines max-product Loopy Belief Propagation …
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New algorithm enables quantum models to outperform classical HMMs
Researchers have developed a new algorithm called NS-RIS (Newton-Schulz Retraction-based Inference on the Stiefel manifold) for learning Hidden Quantum Markov Models (HQMMs). This method aims to overcome the limitations…