Publications

カンファレンス (国際)
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching: Genki Osada, Makoto Shing (Sakana AI), Takashi Nishide (University of Tsukuba); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.19

カンファレンス (国際)
No-regret Bandit Exploration based on Soft Tree Ensemble Model: Shogo Iwazaki, Shinya Suzumura; The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.19

カンファレンス (国際)
Flipping-based Policy for Chance-Constrained Markov Decision Processes: Xun Shen (Osaka University), Shuo Jiang (Osaka University), Akifumi Wachi, Kazumune Hashimoto (Osaka University), Sebastien Gros (Norwegian University of Science and Technology); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.13

カンファレンス (国際)
Stepwise Alignment for Constrained Language Model Policy Optimization: Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto (University of Tsukuba); The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024); 2024.12.11

カンファレンス (国際)
Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?: Soto Anno (Tokyo Institute of Technology), Dario Tenore (Swiss Federal Institute of Technology in Zurich), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.11.25

カンファレンス (国際)
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports: Soto Anno (Tokyo Institute of Technology), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.11.25

論文誌 (国際)
Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks: Jiawei Xue (Purdue University), Takahiro Yabe (Massachusetts Institute of Technology), Kota Tsubouchi, Jianzhu Ma (Tsinghua University), Satish V. Ukkusuri (Purdue University); IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE); 2024.11.21

論文誌 (国際)
Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries: Akira Kodaka (Keio University, Chulalongkorn University), Akihiko Nishino (Keio University), Takashi Kanno (Keio University), Kaya Onda (Keio University), Kota Tsubouchi, Shingo Suzuki (National Research Institute for Earth Science and Disaster Resilience), Shuji Yamaguchi, Naohiko Kohtake (Keio University); Progress in Disaster Science; 2024.11.18

カンファレンス (国際)
DisasterNeedFinder: Understanding the Information Needs in the Noto Earthquake: Kota Tsubouchi, Shuji Yamaguchi, Keijirou Saitou (Japan Broadcasting Corporation), Akihisa Soemori (NHK Global Media Servises), Masato Morita (NHK Global Media Servises), Shigeki Asou (Japan Broadcasting Corporation); The 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024); 2024.10.29

カンファレンス (国際)
Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data: Liqiang Xu (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo), Kota Tsubouchi, Kaoru Sezaki (The University of Tokyo); The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024); 2024.10.24

その他 (国際)
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports: Soto Anno (Tokyo Institute of Technology), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); arXiv.org (arXiv); 2024.10.23

ワークショップ (国内)
Vertical Federated Learningにおける共通属性を用いた差分プライベートなデータ合成: 松本茉倫 (お茶の水女子大学), 髙橋翼, 小口正人 (お茶の水女子大学); コンピュータセキュリティシンポジウム2024 (CSS2024); 2024.10.22

カンファレンス (国際)
Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field Study: Manaka Ito (The University of Tokyo), Kota Tsubouchi, Nobuhiko Nishio (Ritsumeikan University), Masamichi Shimosaka (Tokyo Institute of Technology), Akihito Taya (The University of Tokyo), Kaoru Sezaki (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo); The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2024); 2024.10.18

カンファレンス (国際)
Improving Coverage and Accuracy in Visible Light Positioning through Ceiling Reflection Modeling: Shota Shimada, Hiroaki Murakami (The University of Tokyo), Ryo Tabata (Hokkaido University), Kota Tsubouchi, Takuya Sasatani (The University of Tokyo), Yoshihiro Kawahara (The University of Tokyo), Masanori Sugimoto (Hokkaido University); The 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2024); 2024.10.15

カンファレンス (国際)
Data Collection-free Masked Video Modeling: Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki (Keio University); The 18th European Conference on Computer Vision 2024 (ECCV 2024); 2024.10.3

その他 (国際)
DisasterNeedFinder: Understanding the Information Needs in the 2024 Noto Earthquake (Comprehensive Explanation): Kota Tsubouchi, Shuji Yamaguchi, Keijirou Saitou (Japan Broadcasting Corporation), Akihisa Soemori (NHK Global Media Servises), Masato Morita (NHK Global Media Servises), Shigeki Asou (Japan Broadcasting Corporation); arXiv.org (arXiv); 2024.9.11

カンファレンス (国際)
LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning: Masaya Kawamura, Ryuichi Yamamoto, Yuma Shirahata, Takuya Hasumi, Kentaro Tachibana; The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.3

ワークショップ (国際)
Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction: Ryohei Emori (Keio University), Shinya Suzumura, Takahiro Hoshino (Keio University), Nobuyuki Shimizu; ADKDD 2024: the 17th International Workshop on Data Mining and Audience Intelligence for Advertising (AdKDD 2024); 2024.8.25

カンファレンス (国内)
動画クラスタリングのためのDINOの動画への拡張の検討: 中嶋直也, 石川裕地, 近藤雅芳; 第27回画像の認識・理解シンポジウム MIRU2024 (MIRU2024); 2024.8.6

カンファレンス (国際)
A Survey of Constraint Formulations in Safe Reinforcement Learning: Akifumi Wachi, Xun Shen (Osaka University), Yanan Sui (Tsinghua University); The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024); 2024.8.3