22 citations · 148 across the 31 of their papers we have counts for
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cs.LG2022★ 5 cited
Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer
Yuri Kanno, Muneki Yasuda
An extreme learning machine (ELM) is a three-layered feed-forward neural network having untrained parameters, which are randomly determined before training. Inspired by the idea of…
stat.ML2022★ 6 cited
Free Energy Evaluation Using Marginalized Annealed Importance Sampling
Muneki Yasuda, Chako Takahashi
The evaluation of the free energy of a stochastic model is considered a significant issue in various fields of physics and machine learning. However, the exact free energy evaluati…
stat.CO2022★ 1 cited
Composite Spatial Monte Carlo Integration Based on Generalized Least Squares
Kaiji Sekimoto, Muneki Yasuda
Although evaluation of the expectations on the Ising model is essential in various applications, it is mostly infeasible because of intractable multiple summations. Spatial Monte C…