Mon, Jan 17 AM Machine Learning 1 Chair: Ichiro Takeuchi 10:00 - 11:40 |
(1) |
10:00-10:20 |
Information Geometrically Generalized Covariate Shift Adaptation |
Masanari Kimura (SOKENDAI), Hideitsu Hino (ISM/RIKEN) |
(2) |
10:20-10:40 |
Constrained Bayesian Optimization through Optimal-value Entropy |
Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT) |
(3) |
10:40-11:00 |
Automatic Makeup Transfer with GANs and Its Quantitative Evaluation |
Cuilin Wang, Jun'ichi Takeuchi (Kyushu Univ.) |
(4) |
11:00-11:20 |
Cluster approximation in quantum Boltzmann machine based on information geometry |
Masaya Hoshikawa, Tomohiro Ogawa (UEC) |
(5) |
11:20-11:40 |
CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class |
Daiki Nishiyama (Univ. Tsukuba), Fukuchi Kazuto, Yohei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN) |
Mon, Jan 17 PM Chair: Kohei Hatano 13:00 - 15:05 |
|
13:00-13:05 |
( 5 min. ) |
(6) |
13:05-13:45 |
[Invited Talk]
TBA |
Yuichi Kawamoto (Tohoku Univ.), Takahiro Ohyama (PSNRD) |
(7) |
13:45-14:25 |
[Invited Talk]
Factor Analysis of Communication Quality through Machine Learning and Wireless LAN Sensing |
Koji Yamamoto (Kyoto Univ.) |
(8) |
14:25-15:05 |
[Invited Talk]
Online Learning Based Solutions for B5G/6G Communication Systems |
Sherief Hashima (RIKEN) |
|
15:05-15:10 |
( 5 min. ) |
Tue, Jan 18 AM Chair: Ichiro Takeuchi 09:00 - 12:00 |
|
09:00-09:05 |
( 5 min. ) |
(9) |
09:05-09:45 |
[Tutorial Lecture]
Introduction to Selective Inference |
Ichiro Takeuchi (Nitech/RIKEN) |
(10) |
09:45-10:25 |
[Invited Talk]
TBA |
Shigeyuki Matsui (Nagoya Univ.) |
|
10:25-10:35 |
( 10 min. ) |
(11) |
10:35-11:15 |
[Invited Talk]
TBA |
Atsushi Kawaguchi (Saga Univ.) |
(12) |
11:15-11:55 |
[Invited Talk]
TBA |
Jun Sakuma (Tsukuba Univ./RIKEN) |
|
11:55-12:00 |
Break ( 5 min. ) |
Tue, Jan 18 PM Machine Learning 2 Chair: Hideitsu Hino 13:00 - 14:20 |
(13) |
13:00-13:20 |
Local Explanation of Graph Neural Network through Predictive Graph Mining |
Hinata Asahi, Masayuki Karasuyama (NIT) |
(14) |
13:20-13:40 |
|
|
(15) |
13:40-14:00 |
More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis |
Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) |
(16) |
14:00-14:20 |
Robustness to Adversarial Examples by Mixtures of L1 Regularazation Models |
Hironobu Takenouchi, Junichi Takeuchi (Kyushu Univ.) |
Tue, Jan 18 PM Machine Learning 3 Chair: Jun Sakuma 14:40 - 15:40 |
(17) |
14:40-15:00 |
Domain Adaptation with Optimal Transport for Extended Variable Space |
Toshimitsu Atiake (ISM), Hideitsu Hino (ISM/RIKEN) |
(18) |
15:00-15:20 |
Bayesian Optimization for Simultaneous Optimization of Multiple Tasks with Max-value Entropy Search |
Rintaro Yamada, Shion Takeno, Masayuki Karasuyama (NIT) |
(19) |
15:20-15:40 |
Determining the number of clusters using the shrinking maximum likelihood self-organizing map |
Ryosuke Motegi, Yoichi Seki (Gunma Univ.) |