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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC | 2022-12-03 15:25 |
Osaka | Osaka Electro-Communication University | Stabilization and Acceleration of Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix Jun'ichi Takeuchi, Yoshinari Takeishi, Masazumi Iida (Kyushu Univ.), Noboru Murata (Waseda Univ.), Kazushi Mimura (Hiroshima City Univ.), Hiroshi Nagaoka (Univ. of Electro Communication)  MBE2022-39 NC2022-61 |
We propose a method to stabilize the gradient decent method without decreasing learning rate for two-layer neural networ... [more] | MBE2022-39 NC2022-61 pp.80-85 |
| RCS | 2022-10-28 15:10 |
Ehime | Ehime University, and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Reweighting Alfgorithms for Sparse Recovery Revisited Kazushi Mimura (Hiroshima City Univ.) RCS2022-153 |
[more] | RCS2022-153 p.115 |
| IBISML | 2022-09-15 14:40 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
On Analysis of Generalization Error of Neural Networks Jun'ichi Takeuchi (Kyushu Univ.), Noboru Murata (Waseda Univ.), Kazushi Mimura (Hiroshima City Univ.), Yoshinari Takeishi, Masazumi Iida (Kyushu Univ.), Hiroshi Nagaoka (Univ. of Electro Communication) IBISML2022-37 |
[more] | IBISML2022-37 pp.31-38 |
| NC, MBE (Joint) |
2021-03-05 11:20 |
Online | Online | Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine Ryuta Sasaki, Toru Aonishi (TokyoTech), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (NTT/Stanford Univ.) NC2020-68 |
The coherent Ising machine (CIM) is being developed as one of the Ising computers for solving combinatorial optimization... [more] | NC2020-68 pp.145-150 |
| SIP, IT, RCS | 2021-01-21 16:50 |
Online | Online | [Invited Talk]
Recent topics on approximate message passing for sparse signal recovery Kazushi Mimura (Hiroshima City Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IT2020-81 SIP2020-59 RCS2020-172 |
The approximate massage passing (AMP) that was proposed for sparse signal recovery algorithm has been widely applied to ... [more] | IT2020-81 SIP2020-59 RCS2020-172 p.100 |
| IT | 2020-07-16 16:15 |
Online | Online | Distance Distribution for Non-Adaptive Threshold Group Testing by Graph Ensemble Analysis Takayuki Nozaki (Yamaguchi Univ.), Kazushi Mimura (Hiroshima City Univ.) IT2020-16 |
[more] | IT2020-16 pp.31-36 |
| IT, EMM | 2020-05-28 16:00 |
Online | Online | [Invited Talk]
Analysis of damping AMP for sparse recovery and its deep unfolding Kazushi Mimura (Hiroshima City Univ.), Takeshi Mori, Jun'ichi Takeuchi (Kyushu Univ.) IT2020-5 EMM2020-5 |
We explain recent progress on damping for iterative algorithms. We analyze the damped AMP and investigate property of AM... [more] | IT2020-5 EMM2020-5 pp.25-30 |
| IT, SIP, RCS | 2020-01-23 14:20 |
Hiroshima | Hiroshima City Youth Center | Analysis of damping in AMP by unrolling Takeshi Mori (Kyushu Univ), Kazushi Mimura (Hiroshima City Univ), Jun'Ichi Takeuchi (Kyushu Univ) IT2019-51 SIP2019-64 RCS2019-281 |
Damping for iterative algorithms such as approximate message passing (AMP) is a technique to stabilize behavior of the a... [more] | IT2019-51 SIP2019-64 RCS2019-281 pp.93-98 |
| EMM, IT | 2019-05-24 13:55 |
Hokkaido | Asahikawa International Conference Hall | Improving Sparse Superposition Codes with Deep Learning Masazumi Iida, Yuya Oshikawa (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Junichi Takeuchi (Kyushu Univ.) IT2019-13 EMM2019-13 |
[more] | IT2019-13 EMM2019-13 pp.67-72 |
| IT, ISEC, WBS | 2019-03-08 10:15 |
Tokyo | University of Electro-Communications | Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence Minori Ihara, Kazunori Iwata, Kazushi Mimura (Hiroshima City Univ.) IT2018-117 ISEC2018-123 WBS2018-118 |
We evaluate typical performance of compressed sensing in the case where iterative recovery algorithms fail to converge. ... [more] | IT2018-117 ISEC2018-123 WBS2018-118 pp.257-262 |
| RCS, SIP, IT | 2019-01-31 13:45 |
Osaka | Osaka University | Trainable Bayes Optimal AMP Decoders for Sparse Superposition codes Yuya Oshikawa (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Junichi Takeuchi (Kyushu Univ.) IT2018-44 SIP2018-74 RCS2018-251 |
[more] | IT2018-44 SIP2018-74 RCS2018-251 pp.55-60 |
| MBE, NC (Joint) |
2018-03-13 10:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical mechanics of coherent Ising machine
-- The case of infinite loading Hopfield model -- Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-69 |
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising computing architectures for ... [more] | NC2017-69 pp.9-14 |
| MBE, NC (Joint) |
2018-03-13 10:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical mechanics of coherent Ising machine
-- The analysis of Hopfield model with discrete synapses -- Shunki Nakagawa, Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-70 |
The coherent Ising machine (CIM) is being developed as one of the Ising computing architecture for solving large-scale c... [more] | NC2017-70 pp.15-20 |
| MBE, NC (Joint) |
2018-03-13 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical mechanics of coherent Ising machine
-- The case of CDMA multiuser detector -- Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-71 |
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising computing architectures for ... [more] | NC2017-71 pp.21-26 |
| WBS, IT, ISEC | 2018-03-09 09:50 |
Tokyo | Katsusika Campas, Tokyo University of Science | Bayes Optimal AMP Decoder for Sparse Superposition Codes Yuwa Hatae (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-127 ISEC2017-115 WBS2017-108 |
Sparse superposition codes (SS codes), proposed by Barron and Joseph in 2010, are a class of error-correcting codes f... [more] |
IT2017-127 ISEC2017-115 WBS2017-108 pp.143-148 |
| IT | 2017-11-28 15:50 |
Niigata | Hotel Shiratama-no-Yu Senkei | [Invited Talk]
Situation and Prospects of Sparse Superposition Codes Jun'ichi Takeuchi (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.) IT2017-53 |
[more] | IT2017-53 pp.13-18 |
| NC, NLP (Joint) |
2017-01-26 15:00 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Statistical mechanics of coherent Ising machine
-- The case of ferromagnetic and finite loading Hopfield models -- Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Shoko Utsunomiya (NII), Masato Okada (Univ. of Tokyo), Yoshihisa Yamamoto (NII/Stanford Univ.) NC2016-50 |
The coherent Ising machine (CIM) is attracted attention as one of most effective Ising computing architecture for solvin... [more] | NC2016-50 pp.13-18 |
| IT, SIP, RCS | 2017-01-20 10:50 |
Osaka | Osaka City Univ. | Decoding Algorithm of Sparse Superposition Codes (SSC) Yuwa Hatae, Kohei Miyamoto, Masanori Kawakita (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IT2016-88 SIP2016-126 RCS2016-278 |
[more] | IT2016-88 SIP2016-126 RCS2016-278 pp.243-248 |
| PRMU, MI, IE, SIP | 2015-05-15 09:30 |
Mie | Compressed sensing MRI using similarity of neighboring slices Norihito Inamuro, Akira Hirabayashi (Ritsumeikan Univ.), Kazushi Mimura (Hiroshima City Univ.), Toshiyuki Kurihara, Toshiyuki Homma (Ritsumeikan Univ.) SIP2015-18 IE2015-18 PRMU2015-18 MI2015-18 |
[more] | SIP2015-18 IE2015-18 PRMU2015-18 MI2015-18 pp.93-98 |
|
| CAS, SIP, MSS, VLD, SIS [detail] | 2014-07-11 18:10 |
Hokkaido | Hokkaido University | High quality recovery of nonsparse signals from compressed sensing Aiko Nishiyama, Yuki Yamanaka, Akira Hirabayashi (Ritsumeikan Univ.), Kazushi Mimura (Hiroshima City Univ.) CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24 |
We propose a novel algorithm for the recovery of non-sparse, but compressible signals from linear undersampled measureme... [more] | CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24 pp.123-127 |
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