Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2023-03-14 09:55 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
An extension of the Sinkhorn divergence via convex combination of the bias correction term Kyohei Miwa, Yu Nishiyama (UEC) NC2022-100 |
Sinkhorn divergence (SD) is a divergence in which a bias correction term is added to the entropic optimal transport (EOT... [more] |
NC2022-100 pp.48-53 |
IBISML |
2022-12-23 15:10 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
Fixed Support Tree-Sliced Wasserstein Barycenter Yuki Takezawa, Ryoma Sato (Kyoto Univ./RIKEN AIP), Zornitsa Kozareva (Meta AI), Sujith Ravi (SliceX AI), Makoto Yamada (Kyoto University/RIKEN AIP/OIST) IBISML2022-63 |
The Wasserstein barycenter has been widely studied in various fields, including natural language processing, and compute... [more] |
IBISML2022-63 pp.142-149 |
ISEC, SITE, LOIS |
2022-11-18 14:30 |
Online |
Online |
Investigating the Use of Latent Representations in Federated Learning Using Normalizing Flow and Optimal Transport Algorithms Motonobu Uchikoshi, Takeshi Mori (JRI) ISEC2022-35 SITE2022-39 LOIS2022-19 |
(To be available after the conference date) [more] |
ISEC2022-35 SITE2022-39 LOIS2022-19 pp.27-31 |
IBISML |
2022-03-08 10:25 |
Online |
Online |
Robust computation of optimal transport by β-potential regularization Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo) IBISML2021-31 |
Optimal transport (OT) has become a widely used tool to measure the discrepancy between probability distributions
in th... [more] |
IBISML2021-31 pp.8-14 |
IBISML |
2022-01-18 14:40 |
Online |
Online |
Domain Adaptation with Optimal Transport for Extended Variable Space Toshimitsu Atiake (ISM), Hideitsu Hino (ISM/RIKEN) IBISML2021-27 |
Domain adaptation aims to transfer knowledge of labeled instances obtained from a source domain to a target domain to fi... [more] |
IBISML2021-27 pp.67-74 |
IBISML |
2020-10-21 15:35 |
Online |
Online |
IBISML2020-24 |
The goal of this study is to understand the information processing mechanism in a deep neural network (DNN) as a curve $... [more] |
IBISML2020-24 p.42 |
NLP, NC (Joint) |
2020-01-24 10:10 |
Okinawa |
Miyakojima Marine Terminal |
Optimal Transport based Autoencoder for class and style Disentanglement Florian Tambon, Tetsuo Furukawa (Kyutech) NC2019-62 |
The Sinkhorn autoencoder is a novel generative model using optimal transport to model the aggregated posterior from samp... [more] |
NC2019-62 pp.17-22 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
How does the complexity of critic affect the performance of WGAN? Akihiro Iohara, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-60 |
WGAN is a generative model that learns by minimizing the Wasserstein distance between the generator distribution and the... [more] |
IBISML2018-60 pp.119-125 |
NLP |
2014-01-22 14:30 |
Hokkaido |
Niseko Park Hotel |
Control of Vehicles by Updating Optimal Velocity Function based on Local Information Yuta Minoshima, Hiroya Nakao (Tokyo Inst. of Tech.) NLP2013-157 |
Traffic congestion of vehicles is considered to be a social problem, leading to waste of transportation time. To suppre... [more] |
NLP2013-157 pp.145-149 |
MoNA, IPSJ-AVM |
2011-07-14 13:20 |
Nara |
Nara Institute of Science and Technology |
SCTP Optimum Path Selection using Ant Colony Optimization Approach and Heartbeat Chunks Muhammad Ariff Bin Baharudin, Eiji Kamioka (Shibaura Inst. of Tech.) MoMuC2011-13 |
This paper proposes an optimum path selection approach by using the Ant Colony Optimization (ACO) technique and HEARTBEA... [more] |
MoMuC2011-13 pp.1-6 |