2 papers
cs.LG2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Yuka Hashimoto, Tomoharu Iwata
We propose deep Koopman-layered models with learnable parameters in the form of Toeplitz matrices for analyzing the transition of the dynamics of time-series data. The proposed mod…
cs.LG2024
Quantum Circuit -algebra Net
Yuka Hashimoto, Ryuichiro Hataya
This paper introduces quantum circuit -algebra net, which provides a connection between -algebra nets proposed in classical machine learning and quantum circuits. Using $…