Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online |
Online |
statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] |
NC2020-18 pp.50-55 |
NC, MBE (Joint) |
2020-03-06 11:10 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
The Analysis of Associative Memory with Discrete Synapses Ryuta Sasaki, Toru Aonishi (Tokyo Tech) NC2019-108 |
Recently, as the increasing needs of the development of high-speed Ising computing specific hardware, it has been requir... [more] |
NC2019-108 pp.187-192 |
QIT (2nd) |
2018-11-26 10:30 |
Tokyo |
The University of Tokyo |
Statistical Independence and Zero Correlation: Classical and Quantum Toru Ohira (Nagoya Univ.) |
We normally perceive quantum phenomena as ``strange'' which do not match our classical intuitions. Here, we intentionall... [more] |
|
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 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
Statistical Mechanical Analysis of Learning with Two-Layer Perceptron with Multiple Output Units
-- Reconsidering Plateau Phenomenon -- Yuki Yoshida (UTokyo), Ryo Karakida (AIST), Masato Okada (UTokyo/AIST/RIKEN BSI), Shun-ichi Amari (RIKEN BSI) IBISML2017-83 |
The plateau phenomenon --- stopping decrease of error in the middle of learning --- is problematic.
Since Amari et al. ... [more] |
IBISML2017-83 pp.347-354 |
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 |
QIT (2nd) |
2016-11-25 13:00 |
Ibaraki |
KEK Kobayashi-hall |
[Invited Talk]
Anomalous Quantum States associated with Quantum Breaking of Equivalence of Ensembles Akira Shimizu, Mamiko Tatsuta (Univ. Tokyo) |
There are many `ensembles' in statistical mechanics. When the equivalence of ensembles is broken, we show that a certai... [more] |
|
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
Statistical Mechanical Analysis of Fast Online Learning with Weight Normalization Yuki Yoshida, Ryo Karakida, Masato Okada (UTokyo), Shun-ichi Amari (RIKEN) IBISML2016-60 |
Weight normalization (WN), a newly developed optimization algorithm for neural networks by Salimans & Kingma(2016), fact... [more] |
IBISML2016-60 pp.101-108 |
NC, NLP (Joint) |
2016-01-29 15:25 |
Fukuoka |
Kyushu Institute of Technology |
Statistical Mechanics of Perceptron Learning with Noisy Teacher Arata Honda, Kazushi Ikeda (NAIST) NC2015-65 |
Learning curves of simple perceptron were derived here. They have been analyzed for half a century and the learning curv... [more] |
NC2015-65 pp.45-48 |
NC, NLP (Joint) |
2016-01-29 15:50 |
Fukuoka |
Kyushu Institute of Technology |
Node-perturbation Learning for Soft-committee machine Kazuyuki Hara (Nihon Univ.), Kentaro Katahira (Nagoya Univ.) NC2015-66 |
Node perturbation learning is a stochastic gradient descent method for neural networks. It estimates the gradient of the... [more] |
NC2015-66 pp.49-54 |
MoNA, IN (Joint) |
2015-11-18 14:45 |
Kumamoto |
Kumamoto University |
Thermodynamics of Information Networks Daichi Kominami, Masayuki Murata, Tetsuya Yomo (Osaka Univ.) IN2015-70 |
Thermodynamics is known as one of the framework for describing the behavior of large-scale systems such as natural syste... [more] |
IN2015-70 pp.51-56 |
MBE, NC (Joint) |
2014-11-21 11:50 |
Miyagi |
Tohoku University |
Hyper-parameter estimation for compressive sensing with a Bernoulli-Gauss prior distribution Toshiyuki Watanabe, Jun-ichi Inoue (Hokkaido Univ.) NC2014-28 |
Compressive sensing is a theory that estimates sparse
information signals which has few non-zero elements
from less ... [more] |
NC2014-28 pp.15-20 |
MBE, NC (Joint) |
2014-11-22 14:05 |
Miyagi |
Tohoku University |
Computer simulation for emergence of social inequality in probabilistic labor markets He Chen, Jun-ichi Inoue (Hokkaido Univ.) NC2014-40 |
We discuss social inequalities in labor markets for university
graduates in Japan by using the Gini and $k$-indices. F... [more] |
NC2014-40 pp.79-84 |
SIP |
2014-08-28 15:30 |
Osaka |
Ritsumeikan Univ. (Osaka Umeda Campus) |
[Tutorial Lecture]
Statistical-Mechanical Approach to Signal Processing Seiji Miyoshi (Kansai Univ.) SIP2014-78 |
Statistical mechanics, which is a branch of physics, was constructed with the aim of understanding the macroscopic prope... [more] |
SIP2014-78 p.29 |
QIT (2nd) |
2014-05-12 - 2014-05-13 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
statistical mechanics formulation of prime factorization Chihiro H Nakajima (Tohoku Univ.) |
We propose a new approach to solve the problem of the prime factorization, formulating the problem as a ground state sea... [more] |
|
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Statistical-mechanical analysis of active noise control Rei Fujiwara, Yoshinobu Kajikawa, Seiji Miyoshi (Kansai Univ.) IBISML2013-65 |
We analyze the dynamical behaviors (learning curves) of
the active noise control using a statistical-method.
Cross-co... [more] |
IBISML2013-65 pp.219-224 |
OFT, OCS (Joint) |
2013-08-22 14:00 |
Hokkaido |
|
Calculation for Scattering Cross Section by Permittivity Fluctuation of Wave-guide
-- Statistical Mechanical Method -- Naofumi Kitsunezaki (Aoyama Gakuin Univ.) OCS2013-36 |
We analyze scattering cross section in uniform dielectric material caused by fluctuation of permittivity at any point of... [more] |
OCS2013-36 pp.1-4 |