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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 61 - 80 of 747 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2019-03-05
14:30
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
pp.17-22
NC, MBE
(Joint)
2019-03-05
15:50
Tokyo University of Electro Communications Quantitative evaluation of discriminability between natural texture images by neural populations in visual cortex using L1-logistic regression
Rina Kotani (Osaka Univ.), Hiroko Ichikawa (Tokyo University of Science), Yasuhiko Igarashi (JST/Tokyo Univ.), Yoh-ichi Mototake, Masato Okada (Tokyo Univ.), Hiroshi Tamura (Osaka Univ./CiNet) NC2018-71
 [more] NC2018-71
pp.145-150
QIT
(2nd)
2018-11-27
16:10
Tokyo The University of Tokyo Quantum computational universality of hypergraph states with Pauli-X and Z basis measurements
Yuki Takeuchi (NTT), Tomoyuki Morimae (Kyoto Univ./JST), Masahito Hayashi (Nagoya Univ./SUSTech/NUS)
In this talk, we construct a universal hypergraph state that only requires $X$ and $Z$-basis measurements for universal ... [more]
QIT
(2nd)
2018-11-26
13:30
Tokyo The University of Tokyo [Poster Presentation] Evaluation of the Classical Sampling Cost for Noisy Quantum Circuits
Shigeo Hakkaku (Kyoto Univ.), Keisuke Fujii (Kyoto Univ./JST PRESTO)
 [more]
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Hiroki Sato (Gifu Univ), Motoki Shiga (Gifu Univ./JST/RIKEN), Makoto Yamada (Kyoto Univ./JST/RIKEN) IBISML2018-52
On gene network analysis, detecting network structural changes among different cell states is necessary to understand bi... [more] IBISML2018-52
pp.61-68
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Distance Metric Learning Between Graphs Based on Subgraph
Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-64
A standard approach to evaluating distance between two graphs is to use common subgraphs contained in the two graphs. Fo... [more] IBISML2018-64
pp.151-158
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Comparison between Tsunami Height Prediction Methods Using Ocean-Bottom Pressure Values
Kenjiro Kashiwabara (UTokyo), Yasuhiko Igarashi (UTokyo/NIMS/JST), Masashi Yoshikawa (UTokyo), Toshitaka Baba (Tokushima Univ.), Takane Hori (JAMSTEC), Masato Okada (UTokyo/NIMS) IBISML2018-66
 [more] IBISML2018-66
pp.167-174
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Normal mode selection of coherent phonons by Bayesian LARS-OLS
Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo) IBISML2018-78
Coherent phonon (CP) signals contain normal modes representing the material property and experimental artifacts. It is p... [more] IBISML2018-78
pp.255-262
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Comparison of Bayes estimation and variational Bayes estimation in mixed normal distribution model
Tomofumi Nakayama, Naoki Fujii (UT), Kenji Nagata (AIST/JST PRESTO), Masato Okada (UT) IBISML2018-82
In Gaussian Mixture Model (GMM), Bayesian estimation is one of the estimation methods, but analyti- cal calculation is d... [more] IBISML2018-82
pp.287-292
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Sparse modeling of extended X-ray absorption fine structures (EXAFS) through Bayesian LARS-OLS
Yasuhiko Igarashi (JST), Kazunori Iwamitsu (Kumamoto U.), Toshihiro Okajima (Kyushu LRC), Ichiro Akai (Kumamoto U.), Masato Okada (Univ. Tokyo) IBISML2018-98
(Advance abstract in Japanese is available) [more] IBISML2018-98
pp.403-410
SCE 2018-10-10
16:15
Miyagi   Design and evaluation of superconducting nanostructured transistors for SFQ-CMOS hybrid memory
Kyosuke Sano, Kohei Maruyama, Masamitsu Tanaka (Nagoya Univ.), Taro Yamashita (Nagoya Univ./JST PRESTO), Masumi Inoue (Meijo Univ.), Akira Fujimaki (Nagoya Univ.) SCE2018-21
 [more] SCE2018-21
pp.25-30
SCE 2018-08-09
15:05
Aichi Toyohashi University of Technology Proposal and Demonstration of Inverting Quantum Flux Parametron Circuits
Kota Arai (Yokohama Natl. Univ.), Naoki Takeuchi (JST-PRESTO), Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2018-15
We are studying adiabatic quantum flux parametron (AQFP), which is an ultra-low power logic, in order to achieve future ... [more] SCE2018-15
pp.47-51
SCE 2018-08-09
16:45
Aichi Toyohashi University of Technology Proposal of 0-π SQUID based matrix memory driven by SFQ pulses
Yuto Takeshita, Tomohiro Kamiya, Masamitsu Tanaka (Nagoya Univ.), Taro Yamashita (Nagoya Univ., JST PRESTO), Akira Fujimaki (Nagoya Univ.) SCE2018-12
 [more] SCE2018-12
pp.29-34
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-25
16:40
Hokkaido Sapporo Convention Center Chi-Squared Test for Independence Between Single Nucleotide Polymorphisms and Diseases Using Mis-operation Resistant Searchable Homomorphic Encryption
Keita Emura, Takuya Hayashi (NICT/JST), Wenjie Lu (University of Tsukuba/JST CREST), Shiho Moriai (NICT/JST), Jun Sakuma (University of Tsukuba/JST CREST/RIKEN), Yoshiji Yamada (Mie University/JST CREST) ISEC2018-31 SITE2018-23 HWS2018-28 ICSS2018-34 EMM2018-30
 [more] ISEC2018-31 SITE2018-23 HWS2018-28 ICSS2018-34 EMM2018-30
pp.171-176
CAS, SIP, MSS, VLD 2018-06-14
12:25
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) [Invited Talk] Application of sparse modeling to geosciences
Tatsu Kuwatani (JAMSTEC/JST PRESTO) CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5
The essence of geosciences is an inverse problem. It is important to extract essential information from data with noise ... [more] CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5
pp.23-25
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
10:00
Okinawa Okinawa Institute of Science and Technology Active Level Set Estimation with Multi-fidelity Evaluations
Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1
Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the functi... [more] IBISML2018-1
pp.1-8
NLP, CCS 2018-06-10
10:45
Kyoto Kyoto Terrsa Use of recurrent infomax to improve the information processing capability of input-driven recurrent neural networks
Hisashi Iwade (Kyoto Univ.), Kohei Nakajima (Univ. Tokyo/JST PRESTO), Takuma Tanaka (Shiga Univ.), Toshio Aoyagi (Kyoto Univ.) NLP2018-42 CCS2018-15
Reservoir computing (RC) is known to be a novel information processing framework, which exploits the inherent transient ... [more] NLP2018-42 CCS2018-15
pp.79-84
QIT
(2nd)
2018-06-04
14:50
Hiroshima ICCH Ran [Invited Talk] Physics of Quantum-to-Classical Crossover and Quantum Neural Network
Yoshihisa Yamamoto (JST/Stanford Univ.)
This paper will discuss the novel quantum computing model, dissipative quantum computation, and the physical implementat... [more]
ED, CPM, SDM 2018-05-24
14:20
Aichi Toyohashi Univ. of Tech. (VBL) MEMS bio sensor using suspended graphene fabricated by low-pressure dry transfer technique
Shin Kidane, Hayato Ishida, Kazuaki Sawada (Toyohashi Univ. of Technol.), Kazuhiro Takahashi (Toyohashi Univ. of Technol./JST-PRESTO) ED2018-16 CPM2018-3 SDM2018-11
(To be available after the conference date) [more] ED2018-16 CPM2018-3 SDM2018-11
pp.11-14
SCE 2018-04-20
14:40
Tokyo Kikai-Shinko-Kaikan Bldg. Proposal of a cryogenic signal processor for fluorescence correlation spectroscopy using superconducting nanowire single photon detectors
Shigeyuki Miyajima (NICT), Shigehito Miki (NICT/Kobe Univ.), Masahiro Yabuno (NICT), Taro Yamashita (Nagoya Univ./JST), Hirotaka Terai (NICT) SCE2018-4
We propose and demonstrate a cryogenic signal processor based on a single-flux-quantum (SFQ) circuit for a fluorescence ... [more] SCE2018-4
pp.17-22
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