33 citations · 37 across the 2 of their papers we have counts for
2 papers
cs.NE2022★ 4 cited
Physical Deep Learning with Biologically Plausible Training Method
Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka +3
The ever-growing demand for further advances in artificial intelligence motivated research on unconventional computation based on analog physical devices. While such computation de…
physics.comp-ph2020★ 33 cited
Neural Schrödinger Equation:Physical Law as Neural Network
Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto
We show a new family of neural networks based on the Schrödinger equation (SE-NET). In this analogy, the trainable weights of the neural networks correspond to the physical quantit…