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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 82  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Noise-Robust Voice Conversion by Denoising Training Conditioned with Latent Variables of Speech Quality and Recording Environment
Takuto Igarashi, Yuki Saito, Kentaro Seki, Shinnosuke Takamichi (UT), Ryuichi Yamamoto, Kentaro Tachibana (LY), Hiroshi Saruwatari (UT) EA2023-63 SIP2023-110 SP2023-45
In this paper, we propose noise-robust voice conversion by conditioning latent variables representing speech quality and... [more] EA2023-63 SIP2023-110 SP2023-45
pp.13-18
SIP, IT, RCS 2024-01-19
13:30
Miyagi
(Primary: On-site, Secondary: Online)
[Invited Talk] Problem of Adversarial Attacks on CNN-based Image Classifiers and Countermeasures
Minoru Kuribayashi (Tohoku Univ.) IT2023-67 SIP2023-100 RCS2023-242
It is well-known that discriminative models based on deep learning techniques may cause misclassification if adversarial... [more] IT2023-67 SIP2023-100 RCS2023-242
p.204
QIT
(2nd)
2023-12-18
16:35
Okinawa OIST
(Primary: On-site, Secondary: Online)
Comparative study of decoding the surface code using simulated annealing under depolarizing noise
Yusaku Takeuchi, Yugo Takada, Tatsuya Sakashita (Osaka Univ.), Jun Fujisaki, Hirotaka Oshima, Shintaro Sato (Fujitsu Ltd.), Keisuke Fujii (Osaka Univ.)
The Minimum Weight Perfect Matching (MWPM) method, a general decoder for surface codes, cannot achieve optimal decoding ... [more]
CCS 2023-11-11
15:00
Toyama Toyama Prefectural University [Invited Talk] Quantum-Annealing-Inspired Swarm-Intelligence-Like Simulated Annealing Algorithm
Akio Yoshizawa (AIST) CCS2023-29
Quantum-inspired classical algorithms for combinatorial optimization have been attracting great attention recently. The ... [more] CCS2023-29
pp.25-30
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model
Naganuma Shunta, Fujita Tsukumo, Arai Maki (Tokyo Univ. of Science), Li Aohan (The Univ. of Electro-Communications), Hasegawa Mikio (Tokyo Univ. of Science)
The Ising model is a mathematical model that represents the spin interactions of microscopic components of a substance. ... [more]
TL 2023-03-11
10:00
Online Online Comparative study on the SA method and other methods
Atsushi Sakahara, Madoka Hasegawa (Utsunomiya Univ.), Atsushi Sakahara (Chuo Univ.) TL2022-34
We have been presenting the SA method(the Spinning Aufheben method), which has unique features: Spinning Aufheben to kne... [more] TL2022-34
pp.1-5
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
15:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
[Invited Talk] --
Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] PRMU2022-87 IBISML2022-94
p.149
CAS, CS 2023-03-02
10:20
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Parameterizarion Method for Rapid Solving by Duplicating Spins in Ising Model
Kasumi Fukui, Kunihiro Fujiyoshi (TUAT) CAS2022-113 CS2022-90
The solution of combinatorial optimization problems based on the Ising Model is expected to find a quasi-optimal
soluti... [more]
CAS2022-113 CS2022-90
pp.101-106
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
13:45
Okinawa
(Primary: On-site, Secondary: Online)
[Invited Talk] Speech and Language Research in the Google Tokyo Office
Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] EA2022-116 SIP2022-160 SP2022-80
pp.239-240
QIT
(2nd)
2022-12-09
12:15
Kanagawa Keio Univ.
(Primary: On-site, Secondary: Online)
A highly accurate decoding of the surface code using Ising model solver
Yusaku Takeuchi, Keisuke Fujii (Osaka Univ)
Decoding of surface codes can be done efficiently using minimum-weight perfect matching (MWPM). However, MWPM is not opt... [more]
QIT
(2nd)
2022-12-08
14:00
Kanagawa Keio Univ.
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Hybrid Algorithm with Heterogeneous Ising Machines
Akane Amino, Tomohiro Hattori, Shuta Kikuchi, Shu Tanaka (Keio Univ.)
For combinatorial optimization problems with many variables to be input by the number of variables in
Ising machines, s... [more]

MBE, NC 2022-12-03
16:40
Osaka Osaka Electro-Communication University Correlation-based discretization method of continuous variables in annealing machines
Yuki Furue (Saitama Univ.), Makiko Konoshima (Fujitsu), Hirotaka Tamura (DXR Lab. Inc.), Jun Ohkubo (Saitama Univ.) MBE2022-42 NC2022-64
Recently, annealing hardware specialized to combinatorial optimization problems has been developed, and there are some s... [more] MBE2022-42 NC2022-64
pp.98-103
NS, ICM, CQ, NV
(Joint)
2022-11-24
14:15
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Research on Anomaly Detection through Analysis of Observed Traffic Using Self-Attention
Yuhang Zhou, Akihiro Nakao (UTokyo) NS2022-108
Nowadays, threat activities have become an integral part of our network lives. The sophistication and variety of differe... [more] NS2022-108
pp.47-52
CAS, NLP 2022-10-21
11:15
Niigata
(Primary: On-site, Secondary: Online)
Rapid Solving by Duplicating Spins in Ising Model
Kasumi Fukui, Kunihiro Fujiyoshi (TUAT) CAS2022-30 NLP2022-50
The solution of combinatorial optimization problems based on the Ising model may obtain a quasi-optimal solution by mapp... [more] CAS2022-30 NLP2022-50
pp.56-59
CAS, SIP, VLD, MSS 2022-06-17
15:20
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Petri Net-based QUBO Model Formulation for Flow Shop Scheduling with Setup Changes
Takuya Shinjo, Morikazu Nakamura (Univ. of the Ryukyus), Norihiko Itani (Fujitsu Ltd.) CAS2022-17 VLD2022-17 SIP2022-48 MSS2022-17
This paper proposes a formulation method of quadratic unconstrained binary optimization (QUBO) model for flow-shop sched... [more] CAS2022-17 VLD2022-17 SIP2022-48 MSS2022-17
pp.90-95
CAS, SIP, VLD, MSS 2022-06-17
15:45
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
QUBO Model Formulation based on Petri net Behavior for Combinatorial Optimization Problems
Keisuke Tokuhira, Morikazu Nakamura, Mitsunaga Kinjo, Katsuhiko Shimabukuro (Univ. of the Ryukyus) CAS2022-18 VLD2022-18 SIP2022-49 MSS2022-18
This paper proposes a method to generate Ising or QUBO models based on Petri net behavioral properties for combinatorial... [more] CAS2022-18 VLD2022-18 SIP2022-49 MSS2022-18
pp.96-101
RECONF 2022-06-07
16:35
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
Design of a Quantum Annealing Accelerator for Sparse Ising Model
Yuta Ohma, Hasitha Muthumala Waidyasooriya, Masanori Hariyama (Tohoku Univ.) RECONF2022-10
(To be available after the conference date) [more] RECONF2022-10
pp.45-47
SR 2022-05-13
13:30
Tokyo NICT Koganei
(Primary: On-site, Secondary: Online)
[Invited Talk] Computation with optical parametric oscillator networks
Hiroki Takesue, Takahiro Inagaki, Kensuke Inaba, Takuya Ikuta, Yasuhiro Yamada, Yuya Yonezu, Toshimori Honjo (NTT) SR2022-15
We present our recent effort to realize computations that efficiently solve difficult problems such as combinatorial opt... [more] SR2022-15
pp.67-69
TL 2022-03-13
10:25
Online Online SA method: a methodology with which people can generate ideas
Atsushi Sakahara, Madoka Hasegawa (Utsunomiya Univ.), Atsushi Ito (chuo Univ.) TL2021-34
This paper presents the outline of “SA method,” a novel Idea Generation Method, How it is used in publishing & film indu... [more] TL2021-34
pp.13-18
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-24
11:25
Online Online FPGA Implementation of Scalable Fully Coupled Annealing Processing Sysytem by Using Multi-chip Operation
Kaoru Yamamoto, Takayuki Kawahara (TUS) VLD2021-53 CPSY2021-22 RECONF2021-61
Annealing machines can be classified into sparsely coupled types and fully coupled types. The fully coupled type has the... [more] VLD2021-53 CPSY2021-22 RECONF2021-61
pp.25-30
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