33 citations · 38 across the 4 of their papers we have counts for
4 papers
Programmable Photonic Unitary Processor Enables Parametrized Differentiable Long-Haul Spatial Division Multiplexed Transmission
Mitsumasa Nakajima, Kohki Shibahara, Kohei Ikeda +4
The explosive growth of global data traffic demands scalable and energy-efficient optical communication systems. Spatial division multiplexing (SDM) using multicore or multimode fi…
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Yongbo Zhang, Katsuma Inoue, Mitsumasa Nakajima +3
Spiking neural networks (SNNs), the models inspired by the mechanisms of real neurons in the brain, transmit and represent information by employing discrete action potentials or sp…
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…
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…