Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 13:00 |
Hokkaido |
RUSUTSU RESORT |
Training of Encoder-Decoder models and its application towards edge computing Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) |
[more] |
|
CCS |
2024-03-27 13:25 |
Hokkaido |
RUSUTSU RESORT |
Physical Reservoirs Replication using a small-scale digital calibration reservoir Shohei Tatsumi, Yuki Abe, Kohei Nishida, Tetsuya Asai (Hokkaido Univ) |
[more] |
|
CCS |
2024-03-27 14:00 |
Hokkaido |
RUSUTSU RESORT |
Evaluation of recurrent neural network training using multi-phase quantization optimizer Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) |
(To be available after the conference date) [more] |
|
CCS |
2024-03-27 14:25 |
Hokkaido |
RUSUTSU RESORT |
Multi-task Collaborative Learning Based on Common Bases of Neural Networks Fumiya Arai, Atsushi Hori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) |
(To be available after the conference date) [more] |
|
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 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 |
CCS |
2023-11-11 13:30 |
Toyama |
Toyama Prefectural University |
Evaluation of a Small Signal Detection Circuit for Artificial Action Potentials in an Alginate Gel Membrane Soichiro Yamakawa, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-26 |
In recently years, AI has been applied to a wide range of applications, and the concept of having the human brain itself... [more] |
CCS2023-26 pp.7-12 |
CCS |
2023-11-11 13:55 |
Toyama |
Toyama Prefectural University |
Streaming Hardware Architecture for Ensemble Kalman Filters Kota Tamada, Yuki Abe, Tetsuya Asai (Hokkaido Univ.) CCS2023-27 |
The purpose of this study was to develop a streaming hardware architecture for an ensemble Kalman filter. We investigate... [more] |
CCS2023-27 pp.13-18 |
CCS, IN (Joint) |
2023-08-03 10:33 |
Hokkaido |
Banya-no-yu |
A Study of Memory Reduction Methods for Hardware Implementation of Reservoir Computing Sena Kojima, Koki Minagawa, Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-18 |
[more] |
CCS2023-18 pp.7-12 |
CCS, IN (Joint) |
2023-08-03 10:51 |
Hokkaido |
Banya-no-yu |
Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19 |
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models.
In th... [more] |
CCS2023-19 pp.13-18 |
CCS |
2023-03-26 10:35 |
Hokkaido |
RUSUTSU RESORT |
Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] |
CCS2022-67 pp.25-30 |
CCS |
2023-03-26 10:55 |
Hokkaido |
RUSUTSU RESORT |
A Stochastic Memory for Ultralow-Power IoT Devices and its Subthreshold CMOS Circuit Implementation Seiya Muramatsu, Kohei Nishida, Kota Ando (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ./Hokkaido Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-68 |
We propose a CMOS circuit implementation of a memory circuit for ultralow-power IoT devices based on stochastic computin... [more] |
CCS2022-68 pp.31-35 |
CCS |
2023-03-26 11:15 |
Hokkaido |
RUSUTSU RESORT |
Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle Naruki Hagiwara, Takafumi Kunimi, Kota Ando (Hokkaido Univ.), Megumi Akai (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-69 |
Agents form generative models in the brain through perception and actions for adapting to the external environment. In t... [more] |
CCS2022-69 pp.36-41 |
CCS |
2023-03-26 11:35 |
Hokkaido |
RUSUTSU RESORT |
A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70 |
The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing.... [more] |
CCS2022-70 pp.42-47 |
CCS |
2023-03-26 13:15 |
Hokkaido |
RUSUTSU RESORT |
Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71 |
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks.
In this study, we... [more] |
CCS2022-71 pp.48-53 |
CCS |
2023-03-26 14:15 |
Hokkaido |
RUSUTSU RESORT |
A novel optimizer architecture with multi-phase quantization towards online-learning edge AI hardware Itsuki Akeno, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2022-74 |
[more] |
CCS2022-74 pp.63-68 |
CCS |
2022-03-27 09:00 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Construction and Evaluation of Physical Reservoir Based on CNT/Molecular Networks Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2021-36 |
Previous studies have suggested that a network consisting of carbon nanotubes ( CNT ) and polyacid molecules ( POM ) may... [more] |
CCS2021-36 pp.1-6 |
CCS |
2022-03-27 10:25 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
A novel hardware-oriented log-quantized optimizer for edge AI devices and their online learning Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) CCS2021-39 |
In recently, the concept of training neural networks (NN) at the edge has attracted much attention.
Updating parameters... [more] |
CCS2021-39 pp.19-24 |
CCS |
2022-03-27 10:50 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
An Improvement of Prediction Performance of Reservoir Computing using Deep FORCE Learning Kazuki Nakada, Eiji Suzuki, Keita Suda, Yukio Terasaki (TDK), Tetsuya Asai (Hokkaido Univ.), Tomoyuki Sasaki (TDK) CCS2021-40 |
The physical implementation has become increasingly important in the recent machine learning trends. Reservoir Computing... [more] |
CCS2021-40 pp.25-30 |
CCS |
2022-03-27 14:15 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
A novel method of hidden-area generation with generative adversarial networks in diminished reality Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2021-45 |
[more] |
CCS2021-45 pp.54-59 |