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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ | 2023-12-22 14:00 |
Toyama | University of Toyama | [Invited Lecture]
Machine learning application for 2D/3D data analysis in material science Kentaro Kutsukake (RIKEN)  IMQ2023-9 |
In materials science, data is becoming increasingly complex, high-dimension, large-scale, and numerous, consequently, hi... [more] | IMQ2023-9 pp.1-3 |
| NS | 2023-10-04 15:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] | NS2023-76 p.30 |
| EST | 2023-05-19 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Bayesian Optimization of NRD Guide Stub Filter Keisuke Kazama, Akito Iguchi, Yasuhide tsuji (Muroran Inst. Tech.), Keita Morimoto (Univ. Hyogo), Tatsuya Kashiwa (Kitami inst. Tech.) EST2023-2 |
In order to expand communication capacity, study on millimeter-wave applications is widely carried out. To realize milli... [more] | EST2023-2 pp.5-10 |
| IBISML | 2022-12-22 10:50 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-41 |
Materials informatics, a fusion of materials science and information science, has been attracting attention in recent ye... [more] | IBISML2022-41 p.2 |
| IBISML | 2022-12-22 16:15 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-49 |
Gaussian process upper confidence bound (GP-UCB) is a theoretically promising black-box optimization method; however, a ... [more] | IBISML2022-49 pp.38-45 |
| IBISML | 2022-12-23 13:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2022-59 |
Pareto optimization is one of the multi-objective optimization problems for multiple black-box functions. Recently, an o... [more] | IBISML2022-59 pp.112-119 |
| NC, MBE (Joint) |
2022-09-30 10:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
An approximation algorithm for computing integrated information based on Gaussian process regression Tadaaki Hosaka (TUS) NC2022-40 |
The framework of Integrated Information Theory, which aims to mathematically deal with consciousness, consists of multip... [more] | NC2022-40 pp.32-37 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2 |
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] | NC2022-2 IBISML2022-2 pp.6-13 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2022-05-15 15:35 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Examination of morphological traits of children's faces related to perceptions of cuteness using Gaussian process ordinal regression Teppei Teraji, Keito Shiroshita, Masashi Komori (OECU), Hiroshi Nittono (Osaka Univ.) HCS2022-17 HIP2022-17 |
Konrad Lorenz, an ethologist, proposed that certain physical elements are perceived as cute and induce caretaking behavi... [more] | HCS2022-17 HIP2022-17 pp.81-85 |
| NS, IN (Joint) |
2022-03-11 10:40 |
Online | Online | Measurement Route Design Using Bayesian Optimization for Degraded Area Detection in Ultra-dense Networks Kotaro Matsuda, Hiroki Ikeuchi, Yousuke Takahashi, Akio Watanabe (NTT) IN2021-40 |
In ultra-dense wireless networks after 5G/6G, communication degradation is expected to increase. On the other hand, the ... [more] | IN2021-40 pp.55-60 |
| IBISML | 2022-01-17 10:20 |
Online | Online | Constrained Bayesian Optimization through Optimal-value Entropy Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT) IBISML2021-19 |
The constrained optimization problem for the expensive black-box function is a major problem. Although the effectiveness... [more] | IBISML2021-19 pp.9-16 |
| IBISML | 2022-01-18 15:00 |
Online | Online | Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search Rintaro Yamada, Shion Takeno, Masayuki Karasuyama (NIT) IBISML2021-28 |
Bayesian optimization (BO) has been widely studied as an effective approach to black-box optimizations. On the other han... [more] | IBISML2021-28 pp.75-80 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Visualization of stereotypical face using Gaussian process preference learning and generative image model Masashi Komori, Keito Shiroshita (OECU), Koyo Nakamura, Maiko Kobayashi, Katsumi Watanabe (Waseda Univ.) |
Estimating Facial Stereotypes of Out-group Using Gaussian Process Preference Learning [more] | |
| OPE, MW, IEE-EMT, MWP, EST, EMT, THz [detail] | 2021-07-16 13:00 |
Online | Online | Bayesian Optimization of Three-Dimensional Plasmonic Devices Hiroki Maruyama, Akito Iguchi, Yasuhide Tsuji (Muroran IT), Tatsuya Kashiwa (Kitami IT) EMT2021-22 MW2021-27 OPE2021-16 EST2021-23 MWP2021-24 |
We study on an optimal design of three-dimensional plasmonic devices utilizing Bayesian optimization. In order to optimi... [more] | EMT2021-22 MW2021-27 OPE2021-16 EST2021-23 MWP2021-24 pp.82-85 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 14:55 |
Online | Online | Parameter estimation of an IIR sound correction system in a real environment Kento Kudo, Shinichi Inoue, Toshihisa Tanaka (TUAT) EA2020-84 SIP2020-115 SP2020-49 |
When the acoustic equalizer is used as an equalizer for the reference system, it is necessary to measure the sound at ea... [more] | EA2020-84 SIP2020-115 SP2020-49 pp.146-151 |
| IBISML | 2020-10-21 10:25 |
Online | Online | IBISML2020-19 |
Due to the decreasing birthrate and labor force, expectations are rising for the automatic operation of various robots a... [more] | IBISML2020-19 p.36 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | An investigation of kawaii perceptions for contour shapes using Gaussian process ordinal regression Keito Shiroshita, Masashi Komori (O.E.C.U) |
This study explored the latent psychophysical function of perceived kawaii (the Japanese term for “cuteness”) against mu... [more] | |
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 13:45 |
Kochi | Kochi University of Technology | Design Space Search Applying Bayesian Optimization to High-level Design Flow Ryohei Nakayama (UTokyo), Hiromitsu Awano (Osaka Univ.), Makoto Ikeda (UTokyo) ISEC2019-57 SITE2019-51 BioX2019-49 HWS2019-52 ICSS2019-55 EMM2019-60 |
Now that circuit scale is increasing, high-level synthesis technology that designs circuits using high-level programming... [more] | ISEC2019-57 SITE2019-51 BioX2019-49 HWS2019-52 ICSS2019-55 EMM2019-60 pp.369-374 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:50 |
Okinawa | Okinawa Institute of Science and Technology | A Comparison of Surrogate Models in Bayesian Optimization Sho Shimoyama (Meiji Univ.), Masahiro Nomura (CA) IBISML2019-7 |
Bayesian optimization can efficiently select the next search point by using a surrogate model that estimates an objectiv... [more] | IBISML2019-7 pp.43-50 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2019-05-17 10:00 |
Okinawa | Okinawa Industry Support Center | An investigation of the most "kawaii" shape using preferential Bayesian optimization Masashi Komoei (OECU) HCS2019-15 HIP2019-15 |
This study aims to explore a psychophysical latent function of perceived “Kawaii” (cuteness) against multidimensional sh... [more] | HCS2019-15 HIP2019-15 pp.109-112 |
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