12 citations · 24 across the 14 of their papers we have counts for
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stat.ML2022★ 1 cited
Learning in RKHM: a -Algebraic Twist for Kernel Machines
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Supervised learning in reproducing kernel Hilbert space (RKHS) and vector-valued RKHS (vvRKHS) has been investigated for more than 30 years. In this paper, we provide a new twist t…
nlin.AO2022
Operator-theoretic Analysis of Mutual Interactions in Synchronized Dynamics
Yuka Hashimoto, Masahiro Ikeda, Hiroya Nakao +1
Analyzing synchronized nonlinear oscillators is one of the most important and attractive topics in nonlinear science. By understanding the interactions between the oscillators, we…
stat.ML2022★ 4 cited
-algebra Net: A New Approach Generalizing Neural Network Parameters to -algebra
Yuka Hashimoto, Zhao Wang, Tomoko Matsui
We propose a new framework that generalizes the parameters of neural network models to -algebra-valued ones. -algebra is a generalization of the space of complex numbers.…