Takeuchi Koh

Affiliation and department：
Job title： Senior Lecturer
Other affiliations (1)：

Homepage URL (1)： https://www.ml.ist.i.kyoto-u.ac.jp/koh.takeuchi/

Research field (1)： Intelligent informatics

Research keywords (2)： Machine Learning , Data Mining

Research theme for competitive and other funds (5)：

2024 - 2030 多様な意思決定を支える時空間基盤モデルの研究
2021 - 2026 自律的に計測・介入を行うχログボットのアルゴリズム開発
2020 - 2022 リライアブルな意思決定のための時空間因果推論モデルの研究
2019 - 2020 時空間超解像のための時空間畳み込み技術の研究
2014 - 2018 Development of machine learning algorithms based on discrete convex analysis

Papers (47)：

Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda. Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. IEEE Transactions on Neural Networks and Learning Systems. 2024. 1-15
Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima. Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs. Array. 2023. 19. 100308-100308
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao 0002, Koh Takeuchi, Hisashi Kashima. Estimating Treatment Effects Under Heterogeneous Interference. CoRR. 2023. abs/2309.13884
Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao 0002, Koh Takeuchi, Hisashi Kashima. Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1). 2023. 576-592
Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima. QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD. 2023. 4832-4841

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MISC (12)：

竹内孝. 機械学習を用いたグラフ構造データの解析と応用. 人工知能. 2023. 38. 2. 158-164
乾拓海, 原田将之介, LIU Yang, 竹内孝, 瀧川一学, 山西芳裕, 鹿島久嗣. Link Prediction in Chemical Compound Network Under Observation Bias. 人工知能学会全国大会(Web). 2022. 36th. 4Yin214-4Yin214
竹内孝. 会議報告:The 20th International Conference on Autonomous Agents and Multiagent Systems( AAMAS-2021). 人工知能. 2021. 36. 5. 661-662
TSUJIMOTO Hiroki, TAKEUCHI Koh, KISHINO Yasue, SUZUKI Hirokazu, YODA Ken, KIMURA Koutarou D., MAEKAWA Takuya, HARA Takahiro. Preliminary Investigation of Unsupervised Segmentation for Animal Locomotion Data using Deep Learning. Proceedings of the Annual Conference of JSAI. 2020. 2020. 0. 2C4OS7a02-2C4OS7a02
木村昭悟, 木村昭悟, GHAHRAMANI Zoubin, 竹内孝, 岩田具治, 上田修功. Deep few-shot learning with pseudo example optimization. 人工知能学会全国大会論文集(CD-ROM). 2018. 32nd

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Education (2)：

2016 - 2019 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology
2009 - 2011 Waseda University Graduate School of Advanced Science and Engineering Department of Electrical Engineering and Bioscience

Professional career (1)：

Work history (3)：

2023/10 - 現在 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Senior Lecturer
2020/02 - 2023/09 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Assistant Professor
2011/04 - 2020/01 NTT Communication Science Labs. Researcher

Committee career (5)：

2021 - 2023 The Annual Conference of the Japanese Society for Artificial Intelligence Program Committee
2023 - 第26回情報論的学習理論ワークショップ (IBIS2023) プログラム委員
2023 - The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Local Chair
2019 - The 22nd information-Based Induction Sciences Workshop Program Committee
2016 - The 19th information-Based Induction Sciences Workshop Program Comittie

Awards (13)：

2023/11 - The Japanese Society for Artificial Intelligence JSAI Annual Conference Award
2022/08 - International Conference on Advances in Geographic Information Systems (SIGSPATIAL) Best Poster Award Estimating counterfactual treatment outcomes over time in multi-vehicle simulation
2022 - Intelligence, Informatics and Infrastructure Award for Outstanding Potential Paper
2022 - 人工知能学会第36回全国大会優秀賞地理空間情報とIC定期券データを用いた教師あり学習による駅商圏の異方的推定
2021 - 人工知能学会第35回全国大会優秀賞因果推論を用いた群衆移動の誘導における介入効果推定

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