Weight Tying Causes Grokking in Conditional Flow Matching

Kosuke Ukita, Tsuyoshi Okita

The 14th International Symposium on Applied Engineering and Sciences (SAES 2026), No. p0092

拡散モデルを用いた人間行動モーションデータからの写実的な映像生成

松石康希, 浮田嵩祐, 大北剛

情報処理学会論文誌 (IPSJ Journal), 67-10, 2026.

Efficient Inference for Flow Matching via Unified Path CFG

Kosuke Ukita, Tsuyoshi Okita

The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026)

High-Performance Self-Supervised Learning by Joint Training of Flow Matching

Kosuke Ukita, Tsuyoshi Okita

The 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026)

From Sensor Data to Sequence of Scenes: Diffusion Model-Based Visualization of Human Activity

Koki Matsuishi, Kosuke Ukita, Tsuyoshi Okita

IEEE Xplore, International Conference on Activity and Behavior Computing (ABC 2026), pp. 1-10, DOI: 10.1109/ABC68169.2026.11567210

Foundation Models to Tackle Activity Recognition in Unknown Domain: Sussex-Huawei Locomotion Challenge 2025 Task 2

Tsuyoshi Okita, Kosuke Ukita, Asahi Miyazaki, Daichi Kubota, Jukichi Ota, Naoki Kagiyama, Asahi Nishikawa, Daichi Nagayasu, Syunya Tomitaka, Daisuke Nozaki, Yuki Odo, Raku Yamashita, Xiaolong Ye, Huayu Gao, Kazuki Okahashi, Koki Matsuishi, Masaharu Kagiyama, Kodai Hirata, Haruki Kai, Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Daniel Roggen

Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '25), pp. 983–991

Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks

Koki Matsuishi, Kosuke Ukita, Tsuyoshi Okita

International Journal of Activity and Behavior Computing (IJABC), Care XDX Center, Kyushu Institute of Technology, Vol. 2025, No. 3, pp. 1-25

Energy-Efficient High-Performance Representation Learning for Sensor Data via Flow Matching

Kosuke Ukita, Tsuyoshi Okita

The 7th International Symposium on Neuromorphic AI Hardware, Paper No. P-19

Image Classification Using a Diffusion Model as a PreTraining Model

Kosuke Ukita, Xiaolong Ye, Tsuyoshi Okita

arXiv preprint arXiv:2505.06890, pp. 1-10

AURA-MFM: 詳細な行動理解のためのCLIPを用いたマルチモーダル基盤モデルの構築

松石康希, 浮田嵩祐, 大北剛

情報処理学会研究報告(IPSJ SIG Technical Report), Vol. 2025-UBI-85, No. 8

Improving Human Activity Recognition through Diffusion Models

Kosuke Ukita, Tsuyoshi Okita

The 12nd International Symposium on Applied Engineering and Sciences (SAES 2024), No. p0052

Ensemble Learning of Models for Human Activity Recognition

Asahi Miyazaki, Kosuke Ukita, Tsuyoshi Okita

The 12nd International Symposium on Applied Engineering and Sciences (SAES 2024), No. p0053

Analysis of Human Activity Recognition by Diffusion Models

Kosuke Ukita, Tsuyoshi Okita

Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '24), pp. 458–463

表現条件付き潜在拡散モデルと表現学習

浮田嵩祐, Ye Xiaolong, 大北剛

情報処理学会研究報告, 火の国情報シンポジウム 2024, No. A4-4, pp. 1-8

Towards LLMs for Sensor Data: Multi-Task Self-Supervised Learning

Tsuyoshi Okita, Kosuke Ukita, Koki Matsuishi, Masaharu Kagiyama, Kodai Hirata, Asahi Miyazaki

Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct), pp. 499–504