Publications
JMIR Research Protocols
By : Masanobu Hibi, Shun Katada, Aya Kawakami , Kotatsu Bito, Mayumi Ohtsuka , Kei Sugitani , Adeline Muliandi , Nami Yamanaka , Takahiro Hasumura , Yasutoshi Ando , Takashi Fushimi , Teruhisa Fujimatsu , Tomoki Akatsu , Sawako Kawano , Ren Kimura , Shigeki Tsuchiya , Yuuki Yamamoto , Mai Haneoka , Ken Kushida , Tomoki Hideshima , Eri Shimizu , Jumpei Suzuki , Aya Kirino , Hisashi Tsujimura , Shun Nakamura , Takashi Sakamoto , Yuki Tazoe , Masayuki Yabuki , Shinobu Nagase , Tamaki Hirano, Reiko Fukuda , Yukari Yamashiro , Yoshinao Nagashima, Nobutoshi Ojima , Motoki Sudo , Naoki Oya , Yoshihiko Minegishi , Koichi Misawa , Nontawat Charoenphakdee, Zhengyan Gao , Kohei Hayashi, Kenta Oono, Yohei Sugawara, Shoichiro Yamaguchi, Takahiro Ono , Hiroshi Maruyama
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
arXiv preprint
By : Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Hideyoshi Igata, Masashi Yoshikawa, Yoshiaki Ota, Hiroki Okui, Kei Akita, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
NeurIPS2025
Machine Learning / Deep Learning
By : Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu
Creating a general-purpose generative model for healthcare data based on multiple clinical studies
PLOS Digital Health
By : Hiroshi Maruyama, Kotatsu Bito, Yuki Saito, Masanobu Hibi, Shun Katada, Aya Kawakami, Kenta Oono, Nontawat Charoenphakdee, Zhengyan Gao, Hideyoshi Igata, Masashi Yoshikawa, Yoshiaki Ota, Hiroki Okui, Kei Akita, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Scientific Reports
By : Rie Shiokawa, Junichiro Iwasawa, Yumiko Oishi Tanaka, Yuta Tokuoka, Yohei Sugawara, Yuichiro Hirano, Ryo Takaji, Yayoi Hayakawa, Keita Oda, Yasunori Kudo, Miho Li, Kazue Mizuno, Kazuhisa Ozeki, Ayako Nishimoto-Kakiuch, Kimio Terao
Efficient Universal Potential Distillation with Pre-trained Students in LightPFP
NeurIPS2025 AI4Mat
Chemoinformatics / Materials Science
By : Wenwen Li, Nontawat Charoenphakdee, Yong-Bin Zhuang, Yuta Tsuboi, Ryuhei Okuno, So Takamoto
P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials
NeurIPS2025 ML4PS
Chemoinformatics / Materials Science
By : Shih-Peng Huang, Nontawat Charoenphakdee, Yuta Tsuboi, Yong-Bin Zhuang, Wenwen Li
NeurIPS2024 AIM-FM workshop
By : Yuto Shibata, Yasunori Kudo, Yohei Sugawara
The Second Workshop on GenAI for Health @ NeurIPS2025
By : Wataru Kawakami, Keita Suzuki, Junichiro Iwasawa,
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
5th Deep Generative Models Workshop @ MICCAI 2025
By : Xinkai Zhao, Yuta Tokuoka, Junichiro Iwasawa, Keita Oda,
Efficient Construction of Model Family through Progressive Training Using Model Expansion
COLM2025
By : Kazuki Yano, Sho Takase, Sosuke Kobayashi, Shun Kiyono, Jun Suzuki
Spike No More: Stabilizing the Pre-training of Large Language Models
COLM2025
By : Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

