Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2022/01/17)

Presentation
Cluster approximation in quantum Boltzmann machine based on information geometry

Masaya Hoshikawa(UEC),  Tomohiro Ogawa(UEC),  

[Date]2022-01-17
[Paper #]IBISML2021-21
Information Geometrically Generalized Covariate Shift Adaptation

Masanari Kimura(SOKENDAI),  Hideitsu Hino(ISM/RIKEN),  

[Date]2022-01-17
[Paper #]IBISML2021-18
CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class

Daiki Nishiyama(Univ. Tsukuba),  Fukuchi Kazuto(Univ. Tsukuba/RIKEN),  Yohei Akimoto(Univ. Tsukuba/RIKEN),  Jun Sakuma(Univ. Tsukuba/RIKEN),  

[Date]2022-01-17
[Paper #]IBISML2021-22
Constrained Bayesian Optimization through Optimal-value Entropy

Shion Takeno(NIT),  Tomoyuki Tamura(NIT),  Kazuki Shitara(Osaka Univ./JFCC),  Masayuki Karasuyama(NIT),  

[Date]2022-01-17
[Paper #]IBISML2021-19
Automatic Makeup Transfer with GANs and Its Quantitative Evaluation

Cuilin Wang(Kyushu Univ.),  Jun'ichi Takeuchi(Kyushu Univ.),  

[Date]2022-01-17
[Paper #]IBISML2021-20
[Invited Talk] TBA

Yuichi Kawamoto(Tohoku Univ.),  Takahiro Ohyama(PSNRD),  

[Date]2022-01-17
[Paper #]
[Invited Talk] Factor Analysis of Communication Quality through Machine Learning and Wireless LAN Sensing

Koji Yamamoto(Kyoto Univ.),  

[Date]2022-01-17
[Paper #]
[Invited Talk] Online Learning Based Solutions for B5G/6G Communication Systems

Sherief Hashima(RIKEN),  

[Date]2022-01-17
[Paper #]
Domain Adaptation with Optimal Transport for Extended Variable Space

Toshimitsu Atiake(ISM),  Hideitsu Hino(ISM/RIKEN),  

[Date]2022-01-18
[Paper #]IBISML2021-27
More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis

Mizuki Sato(NITech),  Yumehiro Omori(NITech),  Yu Inatsu(NITech),  Ichiro Takeuchi(NITech),  

[Date]2022-01-18
[Paper #]IBISML2021-25
Unsupervised Causal Concepts Discovery with VAE for Black-box Model Explanation

Tran Quang Thien(Tsukuba Univ., Riken),  Kazuto Fukuchi(Tsukuba Univ., Riken),  Youhei Akimoto(Tsukuba Univ., Riken),  Jun Sakuma(Tsukuba Univ., Riken),  

[Date]2022-01-18
[Paper #]IBISML2021-24
Local Explanation of Graph Neural Network through Predictive Graph Mining

Hinata Asahi(NIT),  Masayuki Karasuyama(NIT),  

[Date]2022-01-18
[Paper #]IBISML2021-23
Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search

Rintaro Yamada(NIT),  Shion Takeno(NIT),  Masayuki Karasuyama(NIT),  

[Date]2022-01-18
[Paper #]IBISML2021-28
Determining the number of clusters using the shrinking maximum likelihood self-organizing map

Ryosuke Motegi(Gunma Univ.),  Yoichi Seki(Gunma Univ.),  

[Date]2022-01-18
[Paper #]IBISML2021-29
Robustness to Adversarial Examples by Mixtures of L1 Regularazation Models

Hironobu Takenouchi(Kyushu Univ.),  Junichi Takeuchi(Kyushu Univ.),  

[Date]2022-01-18
[Paper #]IBISML2021-26
[Tutorial Lecture] Introduction to Selective Inference

Ichiro Takeuchi(Nitech/RIKEN),  

[Date]2022-01-18
[Paper #]
[Invited Talk] TBA

Shigeyuki Matsui(Nagoya Univ.),  

[Date]2022-01-18
[Paper #]
[Invited Talk] TBA

Atsushi Kawaguchi(Saga Univ.),  

[Date]2022-01-18
[Paper #]
[Invited Talk] TBA

Jun Sakuma(Tsukuba Univ./RIKEN),  

[Date]2022-01-18
[Paper #]