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Kaiji Sekimoto

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#machine learning Preprint Aug 2026

Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines

A transition kernel defined over the RBM sequence used in DT is proposed, enabling nonlocal moves within a single transition while leaving the RBM sequence invariant and mitigates the training failures observed with BGS- and DT-based learning.

Kaiji Sekimoto, Muneki Yasuda · 0 citations