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=============================================== Technical Committee on Neurocomputing (NC) Chair: Hiroshi Yamakawa (Univ of Tokyo) Vice Chair: Hirokazu Tanaka (Tokyo City Univ.) Secretary: Hiroki Terashima (NTT), Satoshi Nishida (NICT) Assistant: Yoshimasa Tawatsuji (Waseda Univ.), Tomoki Kurikawa (KMU) =============================================== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) Chair: Masashi Sugiyama (Univ. of Tokyo) Vice Chair: Toshihiro Kamishima (AIST), Koji Tsuda (Univ. of Tokyo) Secretary: Tomoharu Iwata (NTT), Atsuyoshi Nakamura (Hokkaido Univ.) Assistant: Yoshinobu Kawahara (Osaka Univ.), Taiji Suzuki (Tokyo Inst. of Tech.) =============================================== Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) =============================================== Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) DATE: Mon, Jun 27, 2022 10:00 - 18:15 Tue, Jun 28, 2022 09:15 - 17:45 Wed, Jun 29, 2022 09:30 - 16:40 PLACE: Researcher Exchange Facility, University of the Ryukyus TOPICS: ---------------------------------------- Mon, Jun 27 IBISML (Room A) (10:00 - 18:15) ---------------------------------------- (1) 10:00 - 12:00 New Trends in Machine Learning Coordinator: Masashi Sugiyama (RIKEN/Univ. of Tokyo) Introduction to recent machine learning techniques by multiple young researchers ----- Lunch Break ( 120 min. ) ----- (2)/IBISML 14:00 - 14:25 Transformer-Based Fully Trainable Model for Point Process with Past Sequence-Representative Vector Fumiya Nishizawa, Sujun Hong, Hirotaka Hachiya (Graduate School of System Engineering, Wakayama University) (3)/IBISML 14:25 - 14:50 A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) (4)/IBISML 14:50 - 15:15 AI knowledge forgetting based on the importance of model parameters Tomoya Yamashita, Masanori Yamada (NTT) ----- Break ( 15 min. ) ----- (5)/IBISML 15:30 - 15:55 Evaluating and Enhancing Reliabilities of AI-Powered Tools -- Adversarial Robustness -- Jingfeng Zhang (RIKEN-AIP) (6)/IBISML 15:55 - 16:20 (See Japanese page.) (7)/IBISML 16:20 - 16:45 Relaxing the Requirement for Decomposition of the Fisher Information Matrix for Simple Softplus Neural Networks Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) ----- Break ( 15 min. ) ----- (8)/IBISML 17:00 - 17:25 Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa (SOKENDAI), Hideitsu Hino (ISM/RIKEN) (9)/IBISML 17:25 - 17:50 Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) (10)/IBISML 17:50 - 18:15 Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models Takashi Takekawa (Kogakuin Univ.) ---------------------------------------- Mon, Jun 27 MPS 1 (Room B) (14:00 - 16:20) ---------------------------------------- (11) 14:00 - 14:25 (12) 14:25 - 14:50 ----- Break ( 15 min. ) ----- (13) 15:05 - 15:30 (14) 15:30 - 15:55 (15) 15:55 - 16:20 ---------------------------------------- Tue, Jun 28 AM IBISML (Room A) (09:15 - 17:45) ---------------------------------------- (16)/IBISML 09:15 - 09:40 Inside the Ventricle System Immune Cell Network Hypothesis for Language Processing and Intelligence -- B lymphocytes in the CSF Control Spinal Reflexes and Speech Processing -- Kumon Tokumaru (Researcher) (17)/IBISML 09:40 - 10:05 A Novel Analytical Method for Continual Learning Based on the Ease of Classification in Representation Spaces Kengo Murata, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.) (18)/IBISML 10:05 - 10:30 Learning Attribute Vector Fields in GAN Latent Space Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) ----- Break ( 15 min. ) ----- (19)/IBISML 10:45 - 11:10 [Short Paper] A Pseudo Node Based Graph Convolution Network for Emotion Perception from Gait Shurong Chai, Jiaqing Liu (Ritsumeikan University), Tateyama Tomoko (Fujita Health University), LanFen Lin (Zheda), Yen-Wei Chen (Ritsumeikan University) (20)/IBISML 11:10 - 11:35 Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling -- Verification of Robustness for Road Surface Conditions -- Tatsuya Kai (Tokyo Univ. of Science), Kazuki Fukawa (DENSO) (21)/IBISML 11:35 - 12:00 (See Japanese page.) ----- Lunch Break ( 90 min. ) ----- (22)/IBISML 13:30 - 13:55 Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) (23)/IBISML 13:55 - 14:20 Feature selection in prediction model by LiNGAM Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) (24)/IBISML 14:20 - 14:45 On DC Relaxation of Information-directed Sampling in Combinatorial Multi-armed Bandit Problem Junta Fujinaga (Kyoto Univ.), Taira Tsuchiya, Junya Honda (Kyoto Univ./RIKEN) ----- Break ( 15 min. ) ----- (25)/IBISML 15:00 - 15:25 Learning DAG Graph Models without Identifiability from Sparse Inverse Covariance Ziyu Guo, Shin Matsushima (UTokyo) (26)/IBISML 15:25 - 15:50 Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search Kota Misaki, Shin Matsushima (UTokyo) (27)/IBISML 15:50 - 16:15 Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) (28)/IBISML 16:15 - 16:40 An Extension of LiNGAM to Functional Data Analysis Tianle Yang, Joe Suzuki (Osaka Univ.) ----- Break ( 15 min. ) ----- (29)/IBISML 16:55 - 17:20 Extending HSIC for Testing Conditional Independence Bingyuan Zhang, Joe Suzuki (Osaka Univ.) (30)/IBISML 17:20 - 17:45 Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning Daiki Suehiro (Kyushu Univ./RIKEN AIP), Eiji Takimoto (Kyushu Univ.) ---------------------------------------- Tue, Jun 28 MPS 2 (Room B) (10:00 - 14:30) ---------------------------------------- (31) 10:00 - 10:25 (32) 10:25 - 10:50 (33) 10:50 - 11:15 (34) 11:15 - 11:40 (35) 11:40 - 11:55 ----- Lunch Break ( 95 min. ) ----- (36) 13:30 - 13:45 (37) 13:45 - 14:00 (38) 14:00 - 14:15 (39) 14:15 - 14:30 ---------------------------------------- Wed, Jun 29 NC (Room A) (13:30 - 16:40) ---------------------------------------- (40)/NC 13:30 - 13:55 Acceleration of data assimilation for Large-scale human flow data Miyazaki Kazuya, Kiyama Masato, Amagasaki Motoki, Okamoto Toshiaki (Kumamoto Univ) (41)/NC 13:55 - 14:20 Optimization of recurrent neural network structure by controlling symmetry of weight matrix Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) (42)/NC 14:20 - 14:45 LSI implementation of analog CMOS majority circuit for neural network applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) ----- Break ( 15 min. ) ----- (43)/NC 15:00 - 15:25 Emergence of Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing Yuji Kawai (Osaka Univ.), Jihoon Park (NICT/Osaka Univ.), Ichiro Tsuda (Chubu Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) (44)/NC 15:25 - 15:50 MachBands perception is reflected in event-related potentials in visual cortex Kazuma Higashizono, Yasuhiro Tsubo (Ritsumeikan Univ) (45)/NC 15:50 - 16:15 Electrophysiological Indices of the McGurk Effect in Audiovisual Noise Fusheng Xiao, Yasuhiro Tsubo (Ritsumeikan Univ.) (46)/NC 16:15 - 16:40 Sensory information input connecting with the meaning of Chinese characters suppressed Gestaltzerfall Takaya Nakanishi, Yasuhiro Tsubo (Ritsumeikan Univ.) ---------------------------------------- Wed, Jun 29 Bioinformatics（Room B） (09:30 - 16:25) ---------------------------------------- (47) 09:30 - 09:55 (48) 09:55 - 10:20 ----- Break ( 15 min. ) ----- (49) 10:35 - 11:00 (50) 11:00 - 11:25 ----- Lunch Break ( 95 min. ) ----- (51) 13:00 - 13:25 (52) 13:25 - 13:50 ----- Break ( 15 min. ) ----- (53) 14:05 - 14:20 (54) 14:20 - 14:35 (55) 14:35 - 14:50 ----- Break ( 15 min. ) ----- (56) 15:05 - 15:30 (57) 15:30 - 15:55 (58) 15:55 - 16:10 (59) 16:10 - 16:25 # Information for speakers General Talk will have 20 minutes for presentation and 5 minutes for discussion. # CONFERENCE SPONSORS: - This conference is co-sponsored by Japanese Neural Network Society and IEEE Computational Intelligence Society Japan Chapter. === Technical Committee on Neurocomputing (NC) === # FUTURE SCHEDULE: Thu, Sep 29, 2022 - Fri, Sep 30, 2022: Tohoku Univ. [Thu, Jul 14], Topics: Brain Architecture, NC, ME # SECRETARY: Hiroki Terashima (NTT) E-mail:           hco  === Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) === # FUTURE SCHEDULE: Thu, Sep 15, 2022: Keio Univ. (Yagami Campus) [Fri, Jul 22], Topics: Machine Learning, etc. # SECRETARY: Kazuyoshi Yoshii （Kyoto Univ./RIKEN） E-mail:  iik -u === Special Interest Group on Mathematical Modeling and Problem Solving (IPSJ-MPS) === === Special Interest Group on Bioinformatics and Genomics (IPSJ-BIO) === Last modified: 2022-06-06 15:30:08 |
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