Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 14:50 |
Hokkaido |
RUSUTSU RESORT |
Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46 |
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] |
CCS2023-46 pp.42-47 |
NLP |
2022-11-24 16:15 |
Shiga |
(Primary: On-site, Secondary: Online) |
Genetic programming supported by physics-inspired methods Soichiro Kanaya, Toma Takano, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2022-66 |
We study a symbolic regression technique to infer the equations of systems from the observed numerical data. Our method ... [more] |
NLP2022-66 p.42 |
NLP |
2022-11-24 16:40 |
Shiga |
(Primary: On-site, Secondary: Online) |
Photonic reservoir computing with optical microcavities Kohei Arai, Tomoya Yamaguchi, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2022-67 |
Neural networks (NNs), which mimic the function of neural circuits in the brain, use electrons to perform arithmetic ope... [more] |
NLP2022-67 pp.43-48 |
NLP |
2022-11-24 17:05 |
Shiga |
(Primary: On-site, Secondary: Online) |
Haptic sensing based on deep learning and laser speckles Koyo Sagehashi, Kei Kitagawa, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2022-68 |
In this study, we propose a haptic soft sensing approach based on optical scattering techniques and deep learning. The u... [more] |
NLP2022-68 pp.49-54 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:20 |
Online |
Online |
Multimodal sensing using optical scattering from soft materials and deep learning Sho Shimadera, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-78 MICT2021-53 MBE2021-39 |
(To be available after the conference date) [more] |
NLP2021-78 MICT2021-53 MBE2021-39 p.35 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online |
Online |
Physical deep learning based on optimal control of dynamical systems Satoshi Sunada, Genki Furuhata, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-79 MICT2021-54 MBE2021-40 |
An underlying key factor of deep neural networks is the information propagation through the layers. This suggests a conn... [more] |
NLP2021-79 MICT2021-54 MBE2021-40 p.36 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 13:40 |
Online |
Online |
Interspecific competition dynamics solving multi-armed bandit problems in reinforcement learning Tomoaki Niiyama, Genki Furuhata (Kanazawa Univ.), Atsushi Uchida (Saitama Univ.), Makoto Naruse (Univ. of Tokyo), Satoshi Sunada (Kanazawa Univ.) NLP2021-80 MICT2021-55 MBE2021-41 |
[more] |
NLP2021-80 MICT2021-55 MBE2021-41 p.37 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online |
Online |
Ultra fast optical random pattern generation and its application to image recognition Jinsei Hanawa, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-81 MICT2021-56 MBE2021-42 |
(To be available after the conference date) [more] |
NLP2021-81 MICT2021-56 MBE2021-42 p.38 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:30 |
Online |
Online |
Learning Equation of Dynamical Systems Misaki Kondo, Satoshi Sunada, Tomoaki Niiyama (Kanazawa Univ) NLP2021-82 MICT2021-57 MBE2021-43 |
(To be available after the conference date) [more] |
NLP2021-82 MICT2021-57 MBE2021-43 pp.39-42 |