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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Analyze convergence of Quantum-Neural -Networks in the over-parametrized regime Kaito Tanaka (Keio Univ.), Naoki Yamamoto (KQCC) |
Quantum neural networks (QNN) are one of the quantum-classical hybrid algorithms, which can be realized with the current... [more] | |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Data-distributed machine-learning method for neural networks using quantum annealing Kosuke Nakanishi (Kyoto Univ.) |
A method for learning neural networks using quantum annealing (CQNN) has been proposed in previous research. This method... [more] | |
| NS, RCS (Joint) |
2023-12-14 16:00 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder Haruta Yamada, Ryoichi Kawahara (Toyo Univ.)  NS2023-133 |
With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly i... [more] | NS2023-133 pp.42-47 |
| MRIS, ITE-MMS | 2023-12-08 09:30 |
Ehime | Ehime Univ. (CITE) (Primary: On-site, Secondary: Online) |
Performance evaluation of SP decoding considering the influence of recording pattern using neural network Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (Niigata Ins. of Tec.), Yoshihiro Okamoto (Ehime Univ.) MRIS2023-27 |
We study an LDPC (low-density parity-check) encoding and iterative decoding method which combines LDPC codes and SP (sum... [more] | MRIS2023-27 pp.30-35 |
| NLP | 2023-11-28 10:00 |
Okinawa | Nago city commerce and industry association | Application of associative memories to S-P chart Kazuma Kiyohara, Toshimichi Saito (HU) NLP2023-59 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM). The... [more] |
NLP2023-59 pp.1-6 |
| NLP | 2023-11-28 13:50 |
Okinawa | Nago city commerce and industry association | Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] | NLP2023-65 pp.31-34 |
| NLP | 2023-11-29 10:40 |
Okinawa | Nago city commerce and industry association | A Study on General Purpose Data Transmission Scheme Using SD-CNN with Coupled Cells Koki Koase (Chukyo Univ.), Ryoichi Shibata (Aiphon Co.), Hideharu Toda (Chukyo Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-71 |
The sigma-delta cellular neural network (SD-CNN) is an artificial vision system that mimics the retina of biology. SD-CN... [more] | NLP2023-71 pp.53-56 |
| PEM (Workshop) |
2023-11-27 - 2023-11-28 |
Hokkaido | Hokkaido Univ. Frontier Research in Applied Sciences Building | Improvement of Prediction Accuracy of Magnetic Field-Based Positioning with a High-Isolation Relay Circuit Kouga Miyaji, Ai-ichiro Sasaki (Kindai Univ.) |
Magnetic field-based positioning (MFP) is expected as a method that can establish accurate indoor positioning systems. W... [more] | |
| PEM (Workshop) |
2023-11-27 - 2023-11-28 |
Hokkaido | Hokkaido Univ. Frontier Research in Applied Sciences Building | Development of Magnetic Measurement and Source Localization System with a Drone and AI
-- Aiming for Application to Magnetic Material Detection -- Yu Takemoto, Sunao Sadahiro, Yoshimi Hatsukade (Kindai Univ) |
In this study, we developed a remote sensing system, which measures magnetic field distributions based on a fluxgate sen... [more] | |
| NC, MBE (Joint) |
2023-11-27 15:20 |
Osaka | Kindai Univ. (Primary: On-site, Secondary: Online) |
Connection sparsification in hysteresis associative memories Shinya Kujirai, Toshimichi Saito (HU) NC2023-37 |
This paper studies stability of multiple equilibrium points in hysteresis neural networks as associative memories. The n... [more] | NC2023-37 pp.16-19 |
| EMCJ | 2023-11-24 13:25 |
Tokyo | Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] | EMCJ2023-74 pp.13-18 |
| EMM, EA, ASJ-H | 2023-11-23 13:00 |
Toyama | [Poster Presentation]
A Study of Complexity Reduction for Classification of Musical Instruments Using Element Selection Ryu Kato, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo (Yamaha Corp.) EA2023-37 EMM2023-68 |
In this study, we propose complexity reduction in convolutional-neural-network (CNN)-based music instruments classificat... [more] | EA2023-37 EMM2023-68 pp.51-56 |
|
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 09:20 |
Tottori | (Primary: On-site, Secondary: Online) |
Co-speech Gesture Generation with Variational Auto Encoder Shihichi Ka, Koichi Shinoda (Tokyo Tech) PRMU2023-29 |
Co-speech gesture generation is the study of generating gestures from speech. In prior works, deterministic methods lear... [more] | PRMU2023-29 pp.74-79 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-15 15:30 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
* Itsuki Akeno, Hiro Yamazaki, Tetsuya Asai, Kota Ando (Hokkaido Univ) VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 |
We propose a processor architecture for neural network (NN) training in edge and prototype it on an FPGA (Field--Program... [more] | VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 pp.64-69 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 10:00 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
CiM-based Low-bit Neural Network Accelerator Design Method with automatic I/O range optimization Ayumu Yamada, Naoko Misawa, Chihiro Matsui, Ken Takeuchi (Univ. of Tokyo) VLD2023-68 ICD2023-76 DC2023-75 RECONF2023-71 |
A neural network training algorithm, LIORAT, is proposed to improve the efficiency of neural network accelerators with R... [more] | VLD2023-68 ICD2023-76 DC2023-75 RECONF2023-71 pp.198-199 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 14:50 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] | VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
| ET | 2023-11-11 14:50 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification Yuto Takahashi, Masaki Uto (UEC) ET2023-31 |
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] | ET2023-31 pp.40-46 |
| CCS | 2023-11-11 14:20 |
Toyama | Toyama Prefectural University | On the Nonclassicality of a Photon-Based Quantum Reservoir
-- Preliminary Report for Bosonic Quantum Reservoir Computing -- Akio Yoshizawa (AIST) CCS2023-28 |
The reservoir-computing neural network in general consists of an input layer, the reservoir, and the output layer. Only ... [more] | CCS2023-28 pp.19-24 |
| SDM | 2023-11-10 14:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Examination of high high-precision device modeling methods
-- Comparison of Neural Networks and Linear Regression -- Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71 |
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] | SDM2023-71 pp.36-40 |
| SCE | 2023-10-31 10:00 |
Miyagi | RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] | SCE2023-17 pp.26-31 |
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