IEICE Technical Report

Online edition: ISSN 2432-6380

Information-Based Induction Sciences and Machine Learning

Workshop Date : 2025-12-22 - 2025-12-23 / Issue Date : 2025-12-15

IBISML2025-22
On High-Probability Regret Guarantee of Gaussian Process Thompson Sampling
Shion Takeno (Nagoya Univ.), Shogo Iwazaki (MI-6)
pp. 1 - 5

IBISML2025-23
Non-Myopic Bayesian Optimization with Binary and Preference Feedback
Sota Kuri, Shuhei Sugiura (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN), Shion Takeno (Nagoya Univ.)
pp. 6 - 13

IBISML2025-24
Bayesian optimization for composite functions without observations from inner functions
Mihito Toda, Shuhei Sugiura, Shion Takeno (NU), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 14 - 21

IBISML2025-25
Regret Analysis of Posterior Sampling-Based Parallel Bayesian Optimization
Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno (Nagoya Univ.)
pp. 22 - 29

IBISML2025-26
Development and Challenges of a Small-Scale Language Model for Assisting Students in Learning Japanese Classical Literature
Chizuru Kamata, Masato Inoue (Waseda Univ.)
pp. 30 - 36

IBISML2025-27
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
Shojiro Yamabe (Science Tokyo), Jun Sakuma (Science Tokyo, RIKEN AIP)
pp. 37 - 44

IBISML2025-28
parameter-estimation
Yuma Yamaoka, Seiichi Uchida, Shoji Toyota (Kyushu)
pp. 45 - 50

IBISML2025-29
Visualization of Elastic Fields Around Silicon Nano-inclusions Using PINN Based on Atomistic Simulation
Ti Cui, Ichiro Takeuchi (NU)
pp. 51 - 56

IBISML2025-30
A Study on Methods for Improving Model Reliability in Noisy Label Classification -- Proposal of a Learnable Attention Erasing Method --
Qiang Wu, Koichi Hamada (Teikyo University)
pp. 57 - 61

IBISML2025-31
Correlation Analysis of Features Using Boltzmann Machines in Supervised Learning
Yuta Ozaki, Kentaro Kaba, Taiga Suzuki (Science Tokyo), Masaru Hitomi, Masayuki Ohzeki (Tohoku Univ.)
pp. 62 - 67

IBISML2025-32
Stochastic block model reveals multi-order structure of hypergraphs
Kazuki Nakajima (TMU), Yuya Sasaki (UOsaka), Takeaki Uno (NII), Masaki Aida (TMU)
pp. 68 - 74

IBISML2025-33
Enhancing the Performance of Archaeological Site Detection through Multimodal Deep Learning
Maika Miura, Yoshiki Ito, Masato Inoue (Waseda Univ.)
pp. 75 - 82

IBISML2025-34
Reversi Player Classification Method Using Deep Learning
Sakuya Watanabe (SIT), Tomoyuki Sasaki (TCU), Shingo Ando (SIT)
pp. 83 - 87

IBISML2025-35
Control of Refrigerant Circuits Using Reinforcement Learning
Tsuchida Hayamoto, Bisser Raytchev (Hiroshima Univ), Takumi Uemura, Mikimasa Kawaguchi (Mazda), Yanlei Gu, Toru Higaki (Hiroshima Univ)
pp. 88 - 94

IBISML2025-36
Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
Maaya Sakata, Kazuto Fukuchi (Tsukuba Univ./RIKEN AIP)
pp. 95 - 102

IBISML2025-37
Construction of a white-box model that balances predictability and explainability based on lightweight structural learning -- Proposal of GNBT (Graphical Naive Bayes Transformer) --
Toshiki Mori (Eikei Univ.)
pp. 103 - 109

IBISML2025-38
Development of a Reliability Assessment Method for ROI in Deep Neural Networks
Teruyuki Katsuoka (Nagoya Univ.), Tomohiro Shiraishi (Nagoya Univ./RIKEN), Daiki Miwa (Nagoya Univ.), Shuichi Nishino, Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 110 - 118

IBISML2025-39
Quantifying statistical significance for neural network pipelines by selective inference
Seigo Kudo, Teruyuki Katsuoka, Tomohiro Shiraishi, Shuichi Nishino, Ichiro Takeuchi (Nagoya Univ.)
pp. 119 - 124

IBISML2025-40
Selective Inference for Symbolic Regression using Genetic Programming
Tomohiro Shiraishi (Nagoya Univ./RIKEN), Teruyuki Katsuoka (Nagoya Univ.), Shuichi Nishino, Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 125 - 131

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan