Daiki Kimura

Pronouns

He/Him/His

Title

Senior Research Scientist & Manager / Master Inventor

Bio

Email: daiki [at] jp.ibm.com

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Short Bio

Daiki Kimura is currently Senior Research Scientist and Manager of Climate & Sustainability team at IBM Research in Tokyo, and Event Planning Board Member at Japanese Society for Artificial Intelligence. He is now researching about Geospatial Foundation Model and leading the group in Tokyo. He received his D.Eng. from Tokyo Institute of Technology (Institute of Science Tokyo) in 2015. During the period, he was also a Research Fellow of Japan Society for the Promotion of Science, a Research Intern at Microsoft Research Asia, and so on. He was a Research Scientist at Rakuten Institute of Technology from 2015. He joined IBM Research in 2016 and became Technical Assistant of Tokyo Lab Director in 2020. He received IPSJ Research and Engineering Award in 2023, JSAI Field Innovation Award 2023, Grand Prize in Satellite Image AI Competition in 2023, and so on.

木村大毅

現在、IBM 東京基礎研究所シニアリサーチサイエンティスト、クライメイト&サステナビリティー担当部長、及び人工知能学会企画委員。2015 年東京工業大学（現:東京科学大学）博士課程修了。在学中、日本学術振興会特別研究員等を兼任、Microsoft Research Asia 等で研究インターンシップに参加。2015 年楽天技術研究所に入所。2016 年 IBM 東京基礎研究所に入所、2020 年研究所所長技術補佐員を兼任、現在に至る。特に、地理空間基盤モデル、画像 AI などの研究に従事。2023 年度 IPSJ 情報処理技術研究開発賞、2023 年度 JSAI 現場イノベーション賞、2023 年度衛星画像 AI コンペ最優秀賞などを受賞。また、中学校・高等学校教諭専修免許状（数学）を保有。

Projects in IBM

2024 - Now: Manager of Climate & Sustainability team (e.g. Geospatial, Time-series, and Visual Foundation Model) in Japan
2022 - Now: Lead of Tokyo team for Geospatial Foundation Model (Paper, Press1, Press2, Press3)
2022 - 2023: Lead of Generative AI model for Satellite Images (Competition, received Grand Prize at the competition, Interactive Presentation Award at MIRU 2023, GM Award in 2023)
2019 - 2022: Technical Lead of Neuro-Symbolic Reinforcement Learning (LOA, NeSA-Demo, Paper1, Paper2)
2017 - 2020: Technical Lead of Visual Analysis by GAN during Robot-Human Interaction for Detecting Dementia (Paper, received 2 awards: Best Paper Award, Audience Award)
2018 - 2019: Lecturer of AI & Deep Learning with IBM Watson lecture series (CTA, received GM Award)
2016 - 2019: Technical Lead of Mario and Game RLs (Paper (Mario), Paper (DAQN))
2016 - 2018: Member of Project Intu (Project page, Intu)
As of Now: Supervised 11 internship/joint students from CV, RL, Robotics, and Quantum labs at several universities (received IBM Academic Ambassador Contribution Award, students received 3 awards by collaborations)

Awards and Funds

JSAI Field Innovation Award (link), Japanese Society for Artificial Intelligence, 2024
IPSJ Research and Engineering Award (link), Information Processing Society of Japan, 2024
GM Award / 社長賞 - Trailblazer/Beyond boundaries, IBM Japan, 2023
MIRU Interactive Presentation Award [top-1 in 116 presentations] (link), Meeting on Image Recognition and Understanding (MIRU), 2023
MIRU Paper Evaluation Contribution Award [given to 5 out of 40 reviewers] (link), Meeting on Image Recognition and Understanding (MIRU), 2023
Grand Prize including $2K cache award [top-1 score in 57 participants] (link), AI competition for satellite images by SpaceShift and Recruit, 2023
IBM Academic Ambassador Contribution Award, IBM Global University Programs, 2022
1st Prize of Excellent Paper Award (link), IEEE LifeTech, 2021
GM Award / 社長賞 - Technology Leadership, IBM Japan, 2019
Best Paper Award [top-1 in 126 papers] (link), Symposium on Sensing via Image Information, 2019
Audience Award [top-1 in 42 presentations] (link), Symposium on Sensing via Image Information, 2019
IEEE Award, IEICE Tokai-Section Joint Conference, 2018
Digital Signage Award - Interaction section to AI Janken project (link), Digital Signage Consortium, 2018
Research Fund for Young Scientists (KAKENHI) including $20K fund / 1.5 years (link), Japan Society for the Promotion of Science, 2014
Outstanding Young Researcher Award, The Society of Instrument and Control Engineers, 2013
Special Award of Innovative Technologies (to SOINN technology), Ministry of Economy Trade and Industry, Japan, 2013
Total Exemption from Scholarship Repayment by Top 10% Outstanding Achievements, Japan Student Services Organization, 2012
2nd of Graduated Students, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology (Institute of Science Tokyo), 2012
Best Demonstration Award, Meeting on Image Recognition and Understanding, 2012
Outstanding Paper Award, Symposium on Sensing via Image Information, 2011
JM English Learning Award, National Institute of Technology Tokyo College, 2007

Professional Activities

Organizing committee (Lead of Finance), Symposium on Sensing via Image Information (SSII) 2024
Program Committee, IJCAI 2020 - 2024
Program Committee, AAAI 2021 - 2024
Area Chair, EMNLP 2023
Organizing committee (Sub-Lead of Finance), Symposium on Sensing via Image Information (SSII) 2023
Organizer, Neuro-Symbolic Agent (NSA) (link), IJCAI 2023
Organizing committee (Advisor of Local arrangement), Symposium on Sensing via Image Information (SSII) 2022
Organizing committee (Lead of Local arrangement), Symposium on Sensing via Image Information (SSII) 2021
Organizing committee (Member of Local arrangement), Symposium on Sensing via Image Information (SSII) 2020
Program Committee, Knowledge Based Reinforcement Learning Workshop (link), IJCAI 2020
Program Committee, ECML 2019
Reviewer for Conferences: EMNLP 2021-24, MIRU 2022-24, COLING 2022 - 2024, SSRR 2020, ICPR 2020, IROS 2019, ICPR 2018, IROS 2017, etc.
Reviewer for Journals: AI Journal, IEEE TCSVT, JSAI, IEEE SPL, IEEJ, IEICE
Reviewer for Government funds: NRF of South Africa

Invited Talks / Lecture

Lecture, "Past, present, and future of humanity and our society with AI", Tohoku University, Japan, 2023
Lecture, "Past, present, and future of humanity and our society with AI", Tohoku University, Japan, 2022
Lecture, "Past, present, and future of humanity and our society with AI", Tohoku University, Japan, 2021
Invited Lecture, Technical Committee on Industrial Application of Image Processing, Japan, 2017
Assistant of Invited Talk, Cognizance at Indian Institute of Technology, Roorkee, India, 2014
Invited Talk & Demo, Kshitij at Indian Institute of Technology, Kharagpur, India, 2013
Invited Talk & Demo, Techfest at Indian Institute of Technology, Bombay, India, 2013
Assistant of Invited Talk, Workshop on Adaptive and Learning Systems, Yale University, USA, 2013
Assistant of Invited Talk, Kurukshetra at Anna University, India, 2013

Working experience

May 2024 - Now, Senior Research Scientist, IBM Research, Japan
Feb 2024 - Now, Manager, IBM Research, Japan
Jan 2024 - Now, Master Inventor, IBM Research
Dec 2022 - Now, Event Planning Board Member (YouTube video manager), Japanese Society for Artificial Intelligence (link), Japan
Sep 2022 - Now, JP Steering Committee of Invention Development Team, IBM Research, Japan
Mar 2023 - Now, Member of Invention Development Team on Core DL Methods, IBM Research
Nov 2021 - Now, Member of Invention Development Team on Neuro-Symbolic AI, IBM Research
Oct 2016 - Apr 2024, Research Scientist, IBM Research, Japan
Oct 2020 - Jun 2021, Technical Assistant for Director of Research Tokyo, IBM Research, Japan
Oct 2015 - Sep 2016, Research Scientist, Rakuten Institute of Technology, Japan
Apr 2014 - Sep 2015, Research Fellow for Young Scientists, Japan Society for the Promotion of Science (JSPS), Japan
Jun 2010 - Sep 2015, Research Assistant, Tokyo Institute of Technology (Institute of Science Tokyo), Japan
Sep 2014 - Dec 2014, Research Intern, Microsoft Research Asia, China
Oct 2012 - Mar 2014, Teaching and Research Assistant, Tokyo Institute of Technology (Institute of Science Tokyo), Japan
Oct 2012 - Sep 2013, Member of Students Committee, Tokyo Institute of Technology (Institute of Science Tokyo), Japan
Sep 2011 - Feb 2012, Research Intern, University of Applied Sciences Northwestern Switzerland (FHNW) [via IAESTE], Switzerland
Nov 2008 - Feb 2014, Part-time Lecturer, Rinkai Seminar, Japan
Sep 2007 - Oct 2007, Intern, TMC System, Japan

Selected publications

D. Kimura, T. Ishikawa, M. Mitsugi, Y. Kitakoshi, T. Tanaka, N. Simumba, K. Tanaka, H. Wakabayashi, M. Sampei, and M. Tatsubori, "SAR2NDVI: Pre-training for SAR-to-NDVI Image Translation", ICASSP 2024 (code).
D. Kimura, S. Zecevic, S. Chaudhury, S. Swaminathan, D. Agravante, M. Tatsubori, A. Munawar, and A. Gray, "Explainable Neuro-Symbolic Reinforcement Learning", IJCAI workshop 2023.
D. Kimura, T. ishikawa, M. Mitsugi, Y. Kitakoshi, T. Tanaka, N. Simumba, K. Tanaka, H. Wakabayashi, M. Sampei, and M. Tatsubori, "Winning a Competition of Satellite Image Analysis", MIRU 2023 [interactive presentation award].
D. Kimura, M. Ono, S. Chaudhury, R. Kohita, A. Wachi, D. Agravante, M. Tatsubori, A. Munawar, and A. Gray, "Neuro-Symbolic Reinforcement Learning with First-Order Logic", EMNLP 2021.
D. Kimura, S. Chaudhury, M. Ono, M. Tatsubori, D. Agravante, A. Munawar, A. Wachi, R. Kohita, and A. Gray, "LOA: Logical Optimal Actions for Text-based Interaction Games", ACL 2021.
D. Kimura, S. Chaudhury, M. Narita, A. Munawar, and R. Tachibana, "Adversarial Discriminative Attention for Robust Anomaly Detection", WACV 2020.
T. Sakai, H. Qiu, T. Katsuki, D. Kimura, T. Osogami, and T. Inoue, "A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation", NeurIPS 2024.
J. Jakubik, S. Roy, C. Phillips, P. Fraccaro, D. Godwin, B. Zadrozny, D. Szwarcman, C. Gomes, G. Nyirjesy, B. Edwards, D. Kimura, N. Simumba, L. Chu, and et al., "Foundation Models for Generalist Geospatial Artificial Intelligence", Arxiv 2023.
S. Chaudhury, S. Swaminathan, D. Kimura, P. Sen, K. Murugesan, R. Uceda-Sosa, M. Tatsubori, A. Fokoue, P. Kapanipathi, A. Munawar, and A. Gray, "Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning", ACL 2023.
D. Agravante, D. Kimura, M. Tatsubori, A. Munawar, and A. Gray, “Learning Neuro-Symbolic World Models with Conversational Proprioception”, ACL 2023.
T. Tanaka, D. Kimura, and M. Tatsubori, "DiffG-RL: Leveraging Difference between Environment State and Common Sense", EMNLP 2022.

Publications

Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, and Tadanobu Inoue, "A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation", Conference on Neural Information Processing Systems (NeurIPS), Dec 2024.
Daiki Kimura, Naomi Simumba, Marcus Freitag, Johannes Schmude, Daniela Szwarcman, Michiaki Tatsubori, Paolo Fraccaro, and Campbell Watson, "Global Area Sampling for Geospatial Foundation Model", American Geophysical Union Annual Meeting (AGU), Dec 2024.
Daiki Kimura, Tatsuya Ishikawa, Naomi Simumba, Michiaki Tatsubori, Takao Moriyama, Harini Srinivasan and Levente Klein, "Predicting NDVI from SAR Images toward Above Ground Biomass Estimation", American Geophysical Union Annual Meeting (AGU), Dec 2024.
Sina Klampt, Tatsuya Ishikawa, and Daiki Kimura, "Transductive Transfer-Learning for Land Use Land Cover Classification", American Geophysical Union Annual Meeting (AGU), Dec 2024.
Haoxiang Qiu, Daiki Kimura, Sakai Tomoya, and Katsuki Takayuki, "Exploring Different Types of Foundation Models on Flood Segmentation Datasets", American Geophysical Union Annual Meeting (AGU), Dec 2024.
Michal Muszynski, Levente Klein, Ademir Ferreira Da Silva, Anjani Prasad Atluri, Carlos Miguel Pina Vaz Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell Watson, Daiki Kimura, and Harini Srinivasan, "Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation", KDD Workshop on Fragile Earth: Generative and Foundational Models for Sustainable Development, Aug 2024.
Daiki Kimura, Naomi Simumba, Marcus Freitag, Johannes Schmude, Linsong Chu, Daniela Szwarcman, Johannes Jakubik, Paolo Fraccaro, Carlos Miguel Pina Vaz Gomes, Dario Augusto Borges Oliveira, Michal Muszynski, and Michiaki Tatsubori, "Geospatial Foundation Model by Diversified Data", Meeting on Image Recognition and Understanding (MIRU), Aug 2024.
Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, and Tadanobu Inoue, "Simple Class Relation Helps Generalized Few-Shot Semantic Segmentation", Meeting on Image Recognition and Understanding (MIRU), Aug 2024.
Takayuki Katsuki, Haoxiang Qiu, Tomoya Sakai, Takayuki Osogami, Tadanobu Inoue, Daiki Kimura, and Cristiano Malossi, "Domain Adaptation from Sequentially Arriving Target Images with Online Deep Sets", Meeting on Image Recognition and Understanding (MIRU), Aug 2024.
Takayuki Katsuki, Haoxiang Qiu, Tomoya Sakai, Takayuki Osogami, Tadanobu Inoue, Daiki Kimura, and Cristiano Malossi, "Domain-adaptive Instance Segmentation for Visual Inspection from Civil Infrastructure Images", Meeting on Image Recognition and Understanding (MIRU), Aug 2024.
Haoxiang Qiu, Tomoya Sakai, Takayuki Katsuki, Daiki Kimura, and Takayuki Osogami, "A Cycle Consistency based Approach for Semantic Segmentation on Crack Images", Symposium on Sensing via Image Information (SSII), Jun 2024.
Daiki Kimura, Naomi Simumba, Marcus Freitag, Johannes Schmude, and Michiaki Tatsubori, "Geospatial Sampling by Maximizing Information Entropy", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2024.
Naomi Simumba, Daiki Kimura, and Michiaki Tatsubori, "Towards Efficient Satellite Data Representation Learning with Consistency Loss", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2024.
Daiki Kimura, Naomi Simumba, Takao Moriyama, Tatsuya Ishikawa, and Michiaki Tatsubori,"An Introduction to Geospatial Foundation Model", Japan Geoscience Union Meeting (JpGU), May 2024.
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, Kentaro Tanaka, Hiroaki Wakabayashi, Masato Sampei, and Michiaki Tatsubori, "SAR2NDVI: Pre-training for SAR-to-NDVI Image Translation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024 (code).
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, Kentaro Tanaka, Hiroaki Wakabayashi, Masato Sampei, and Michiaki Tatsubori, "Satellite Image Analysis by Pre-training Network", National Convention of Information Processing Society of Japan (IPSJ), Mar 2024.
Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik Hamann, S. Karthik Mukkavilli, and Daniel Salles Civitarese, "TensorBank: Tensor Lakehouse for Foundation Model Training", IEEE International Conference on Big Data (BigData), Dec 2013.
Daiki Kimura, Naomi Simumba, Marcus Freitag, Johannes Schmude, and Michiaki Tatsubori, "Area Sampling for Training Geospatial Foundation Models", American Geophysical Union Annual Meeting (AGU), Dec 2023.
Michiaki Tatsubori, Naomi Simumba, and Daiki Kimura, "Data Leakage in Applying Geospatial Foundation Models", American Geophysical Union Annual Meeting (AGU), Dec 2023.
Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Sujit Roy, Christopher Edward Phillips, Manil Maskey, Pontus Olofsson, Tsengdar J Lee, Kevin J Murphy, Elizabeth Fancher, Daniel Duffy, Michael M. Little, Johannes Jakubik, Linsong Chu, Paolo Fraccaro, Daiki Kimura, Naomi Simumba, Daniela Szwarcman, Michal Muszynski, Komminist Weldemariam, Bianca Zadrozny, Raghu K Ganti, Hamed Alemohammad, Hanxi Li, Michael Cecil, Sam Khallaghi, Denys Godwin, Maryam Ahmadi, Fatemeh Kordi, and Ankur Kumar, "Foundation Models for Science: An Open Collaborative Initiative", American Geophysical Union Annual Meeting (AGU), Dec 2023.
Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dario Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu Ganti, Kommy Weldemariam, and Rahul Ramachandran, "Foundation Models for Generalist Geospatial Artificial Intelligence", Arxiv Tech report, Oct 2023.
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, Kentaro Tanaka, Hiroaki Wakabayashi, Masato Sampei, and Michiaki Tatsubori, "Pre-Training and Fine-Tuning for Satellite Image-to-Image Translation", IJCAI workshop on Bridge-AI: from Climate Change to Health Equity, Aug 2023.
Daiki Kimura, Stefan Zecevic, Subhajit Chaudhury, Sarathkrishna Swaminathan, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Explainable Neuro-Symbolic Reinforcement Learning", IJCAI workshop on Neuro-Symbolic Agents, Aug 2023.
Minori Narita, and Daiki Kimura, "Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning", IJCAI workshop on Neuro-Symbolic Agents, Aug 2023.
Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Neuro-Symbolic Model-based RL with Logical Neural Network", IJCAI workshop on Neuro-Symbolic Agents, Aug 2023.
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, Kentaro Tanaka, Hiroaki Wakabayashi, Masato Sampei, and Michiaki Tatsubori, "Winning a Competition of Satellite Image Analysis", Meeting on Image Recognition and Understanding (MIRU), Jul 2023 [interactive presentation award].
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, and Alexander Gray, "Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning", Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2023.
Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, “Learning Neuro-Symbolic World Models with Conversational Proprioception”, Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2023.
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, and Michiaki Tatsubori, "Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis", ACL Workshop on Clinical Natural Language Processing, Jul 2023.
Tatsuya Ishikawa, Daiki Kimura, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, and Michiaki Tatsubori, "On Image-to-image Translation from Sentinel-1 SAR to Indices derived by Sentinel-2", Japan Geoscience Union Meeting (JpGU), May 2023.
Michiaki Tatsubori, Daiki Kimura, Takao Moriyama, Naomi Simumba, and Tatsuya Ishikawa, "A Programming Model for Geospatial Machine-Learning with Scalability in Hybrid Multiclouds", European Geosciences Union (EGU), Apr 2023.
Kenta Yoshii, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Screening of Mild Cognitive Impairment Through Conversations With Humanoid Robots: Exploratory Pilot Study", JMIR Formative Research, Jan 2023.
Michiaki Tatsubori, Takao Moriyama, Naomi Simumba, Tatsuya Ishikawa, Daniela Szwarcman, Blair Edwards, Bianca Zadrozny, Campbell Watson, Kommy Weldemariam, and Daiki Kimura, "Towards Accelerated Discovery Services for Geospatio-temporal Foundation Models", American Geophysical Union Fall (AGU Fall), Dec 2022.
Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "DiffG-RL: Leveraging Difference between Environment State and Common Sense", Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
Subhajit Chaudhury, Sarathkrishna Swaminathan, Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, and Alexander Gray, "X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization", Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "Reinforcement Learning with Common Sense from Visual Dataset", Meeting on Image Recognition and Understanding (MIRU), Jul 2022 [oral].
Daiki Kimura, Tsunehiko Tanaka, Michiaki Tatsubori, and Asim Munawar, "Challenges in Explainability and Knowledge Extraction", NAACL workshop on Wordplay: When Language Meets Games, Jul 2022.
Daiki Kimura, Subhajit Chaudhury, Sarathkrishna Swaminathan, Tsunehiko Tanaka, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Reinforcement Learning by Neuro-Symbolic AI", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2022.
Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "RL Agents with Commonsense Knowledge from Scene Graphs", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2022.
Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "Commonsense Knowledge from Scene Graphs for Textual Environments", AAAI Workshop on Reinforcement Learning in Games, Mar 2022.
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Neuro-Symbolic Reinforcement Learning with First-Order Logic", Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar, "Neuro-symbolic Approaches for Text-Based Reinforcement Learning", Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, and Alexander Gray, "LOA: Logical Optimal Actions for Text-based Interaction Games", Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), Aug 2021.
Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, and Asim Munawar, "Language-based General Action Template for Reinforcement Learning Agents", Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), Aug 2021.
Tomosato Hioki, Daiki Kimura, Jayakorn Vongkulbhisal, Subhajit Chaudhury, Michiaki Tatsubori, and Eiji Saitoh, "Time-resolved Magneto-optical Imaging assisted by Deep-learning Video Frame Interpolation", American Physical Society (APS) March Meeting, Mar 2021.
Kenta Yoshii, Masafumi Nishimura, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai, and Shinji Higashi, "A Study for Detecting Mild Cognitive Impairment by Analyzing Conversations with Humanoid Robots", IEEE Global Conference on Life Sciences and Technologies (LifeTech), Mar 2021 [1st prize, excellent paper award].
Minori Narita, Daiki Kimura, and Takeshi Imamura, "Automatic Detection of Stationary Waves in the Venus' Atmosphere Using Deep Generative Models", International Conference on Pattern Recognition (ICPR), Jan 2021.
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, and Alexander G Gray, "Reinforcement Learning with External Knowledge by using Logical Neural Networks", IJCAI workshop on Knowledge-based Reinforcement Learning (KbRL), Jan 2021.
Minori Narita, and Daiki Kimura, "Learning from Failure: Introducing Failure Ratio in Reinforcement Learning", IJCAI workshop on Knowledge-based Reinforcement Learning (KbRL), Jan 2021.
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, and Ryuki Tachibana, "Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games", Empirical Methods in Natural Language Processing (EMNLP), Nov 2020.
Kenta Yoshii, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Simple Screening of Dementia by using Voice in Daily Conversation with a Humanoid Robot", IPSJ SLP, Oct 2020.
Kenta Yoshii, Motoki Abe, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Speech Characteristics Analysis of Mild Cognitive Impairment in Conversation with a Humanoid Robot", Forum on Information Technology (FIT), Sep 2020 [encouragement award].
Tomosato Hioki, Daiki Kimura, Jayakorn Vongkulbhisal, Subhajit Chaudhury, Michiaki Tastubori, and Eiji Saitoh, "Deep frame interpolation of quantum wave video by introducing loss in Fourier space", Symposium on Sensing via Image Information (SSII), Jun 2020.
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Adversarial Discriminative Attention for Robust Anomaly Detection", IEEE Winter conference on Applications of Computer Vision (WACV), Mar 2020 [accepted on 1st round].
Minori Narita, and Daiki Kimura, "Efficient Exploration with Failure Ratio for Deep Reinforcement Learning", AAAI Workshop on Reinforcement Learning in Games (AAAI-RLG), Feb 2020.
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, and Hiroki Ozaki, "Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos", IEEE International Symposium on Multimedia (ISM), Dec 2019.
Subhajit Chaudhury, Daiki Kimura, Asim Munawar, and Ryuki Tachibana, "Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning", IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2019 [oral].
Minori Narita, and Daiki Kimura, "Deep Reinforcement Learning with Failure Ratio", Annual Conference of the Robotics Society of Japan (RSJ), Sep 2019 [oral].
Daiki Kimura, Subhajit Chaudhury, Hisayuki Kohmoto, Asim Munawar, and Ryuki Tachibana, "Real object recognition with web-crawled images", Meeting on Image Recognition and Understanding (MIRU), Aug 2019.
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, and Hiroki Ozaki, "Towards Automatic Tagging of Unstructured Table Tennis Videos Captured in the Wild", Meeting on Image Recognition and Understanding (MIRU), Aug 2019.
Ryuki Tachibana, Haruki Imai, Daiki Kimura, Tadanobu Inoue, "Enterprise AI - Latest AI researches in IBM Research", ProVISION (magazine), No. 95, Jun 2019.
Everett Fall, Michiaki Tatsubori, Don Joven Agravante, Masataro Asai, Shu Morikuni, Daiki Kimura, Subhajit Chaudhury, Asim Munawar, and Liang-Gee Chen, "Option Discovery with Prediction Network Ensembles from Demonstrations in Unconstrained State Spaces", ICML workshop on Multi-Task and Lifelong Reinforcement Learning, Jun 2019.
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Anomaly Detection by Reconstruction-loss from VAEGAN and ROI from Discriminator", Symposium on Sensing via Image Information (SSII), Jun 2019 [best paper award, audience award].
Minori Narita, Daiki Kimura, and Takeshi Imamura, "Detection of Venus" Stationary Waves Using Variational Auto-encoder", Symposium on Sensing via Image Information (SSII), Jun 2019.
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Anomaly Detection with VAEGAN and Attention", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2019.
Minori Narita, and Daiki Kimura, "Efficient Learning of Othello Utilizing the Concept of Undo", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2019.
Minori Narita, Daiki Kimura, Atsushi Yamazaki, and Takeshi Imamura, "Automatic Detection of Stationary Gravity Waves in the Venus" Atmosphere Using Deep Generative Models", Japan Geoscience Union Meeting (JpGU), May 2019.
Motoki Abe, Ryota Togai, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Identifying Dementia Characteristics using Spoken Dialogue with a Humanoid Robot", National Convention of Information Processing Society of Japan, Mar 2019 [student award].
Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, and Sakyasingha Dasgupta, "Internal Model from Observations for Reward Shaping", AAAI Workshop on Reinforcement Learning in Games (AAAI-RLG), Jan 2019.
Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, and Ryuki Tachibana, "Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation", Tech report, arXiv, Oct 2018.
Motoki Abe, Ryota Togai, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "A Preliminary Study on Characteristics of Dementia in Chat with Humanoid Robot", Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, Sep 2018 [IEEE award].
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, and Ryuki Tachibana, "Focusing on What is Relevant: Time-Series Learning and Understanding using Attention", International Conference on Pattern Recognition (ICPR), Aug 2018.
Daiki Kimura, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Spatially-weighted anomaly detection with regression model", Meeting on Image Recognition and Understanding (MIRU), Aug 2018 [oral].
Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, and Sakyasingha Dasgupta, "Internal Model from Observations for Reward Shaping", ICML workshop on Adaptive and Learning Agents (ALA), Jul 2018 [oral].
Minori Narita, Daiki Kimura, and Ryuki Tachibana, "Spatially-weighted anomaly detection", Symposium on Sensing via Image Information (SSII), Jun 2018 [honorable mention (top 6%)].
Daiki Kimura, "DAQN: Deep Auto-encoder and Q-Network", Tech report, arXiv, Jun 2018.
Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, and Grady Booch, "MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning", International Conference on Robotics and Automation (ICRA), May 2018.
Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, and Ryuki Tachibana, "Human-like Hand Reaching by Motion Prediction", International Conference on Social Robotics (ICSR), Nov 2017.
Daiki Kimura, and Ryuki Tachibana, "Deep reinforcement learning with pre-training", Annual Conference of the Robotics Society of Japan (RSJ), Sep 2017 [top-25% oral presentation].
Daiki Kimura, "Recent AI Robots", Technical Committee on Industrial Application of Image Processing, May 2017 [invited].
Daiki Kimura, and Osamu Hasegawa, "Motion Knowledge Transfer between Robots have Different Specifications", Journal of Institute of Electronics Information and Communication Engineers (IEICE), Aug 2016.
Daiki Kimura, and Osamu Hasegawa, "Estimating Multimodal Attributes for Unknown Objects", International Joint Conference on Neural Networks (IJCNN), Jul 2015 [oral].
Daiki Kimura, and Osamu Hasegawa, "Object Recognition for Pedagogical Robots", International Symposium on Pedagogical Machines, Mar 2015.
Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Guessing an Unknown Class by Online Fast Attributes Learning and Transfer", Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Dec 2014.
Daiki Kimura, and Osamu Hasegawa, "Effective Big-data Analysis by Active Learning", Meeting on Image Recognition and Understanding (MIRU), Jul 2014 [invited].
Daiki Kimura, and Osamu Hasegawa, "Ultra-fast Attribute-based Transfer Learning using Images on the Internet", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014.
Daiki Kimura, Shunichiro Mizuno, and Osamu Hasegawa , "Ultra-fast Big-data Analysis by Interactive Active Learning", Symposium on Sensing via Image Information (SSII), Jun 2014 [invited].
Daiki Kimura, and Osamu Hasegawa, "An Artificial Brain for Intelligent Robots", International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII), Oct 2013 [oral].
Osamu Hasegawa, and Daiki Kimura (presenter) , "Home Robots, Learn by Themselves", International Conference on Human-Computer Interaction (HCI), Jul 2013 [oral] .
Daiki Kimura, and Osamu Hasegawa, "Recognizing Objects in Real-world by Multimodal Information", Meeting on Image Recognition and Understanding (MIRU), Jul 2013 [invited].
Daiki Kimura, and Osamu Hasegawa, "Understanding by Ultra-fast Multimodal Attribute Transfer", Symposium on Sensing via Image Information (SSII), Jun 2013 [invited].
Daiki Kimura, and Osamu Hasegawa, "SOINN: An Artificial Brain", Yale Workshop on Adaptive and Learning Systems, Jun 2013 [invited].
Daiki Kimura, Ryutaro Nishimura, Akihiro Oguro, and Osamu Hasegawa, "Ultra-fast Multimodal and Online Transfer Learning on Humanoid Robots", ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2013.
Daiki Kimura, Ryutaro Nishimura, Akihiro Oguro, and Osamu Hasegawa, "Ultra-fast Multimodal and Online incremental Transfer Learning from Internet data to Estimate Unknown Object", Robotics Symposia, Mar 2013 [outstanding young researcher award].
Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Guessing Unknown Objects using Images on the Internet", Meeting on Image Recognition and Understanding (MIRU), Aug 2012 [best demo award, invited].
Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Ultra-Fast and Online Incremental Transfer Learning with Internet", Symposium on Sensing via Image Information (SSII), Jun 2012 [invited].
Daiki Kimura, Pichai Kankuekul, Aram Kawewong, and Osamu Hasegawa, "Ultra-Fast and Online Incremental Transfer Learning", Symposium on Sensing via Image Information (SSII), Jun 2011 [outstanding paper].
Pichai Kankuekul, Daiki Kimura, Aram Kawewong, Sirinart Tangruamsub, and Osamu Hasegawa, "An Online Object Recognition", National Convention of Information Processing Society of Japan (IPSJ), Mar 2011.
Daiki Kimura, Yasuaki Ohno, Keiko Karaishi, and Masahiro Aono, "Store and Forward Type Broadcast Scheduling for Mobile Terminal without Users" Stress", National Convention of Information Processing Society of Japan (IPSJ), Mar 2009.

Patents

Devyani Lambhate, Vijay Ekambaram, Ranjini Bangalore Guruprasad, Kamal Chandra Das, Michiaki Tatsubori, Daiki Kimura, and Naomi Simumba, "(confidential)", US 18/814844, 2024 [status: Filed].
Thomas Andre Maxime Carta, Daiki Kimura, Don Joven Ravoy Agravante, Takaaki Tateishi, Toshihiro Takahashi, Michiaki Tatsubori, "(confidential)", US18/800225, 2024 [status: Filed].
Thomas Andre Maxime Carta, Daiki Kimura, Don Joven Ravoy Agravante, Michiaki Tatsubori, "(confidential)", US18/473808, 2023 [status: Filed].
Yeldar Toleubay, Don Joven Ravoy Agravante, Daiki Kimura, Michiaki Tatsubori, "(confidential)", US18214377, 2023 [status: Filed].
Naomi Simumba, Michiaki Tatsubori, Daiki Kimura, "(confidential)", US18321143, 2023 [status: Filed].
Daiki Kimura, Stefan Zecevic, Subhajit Chaudhury, Michiaki Tatsubori, "(confidential)", US18187018, 2023 [status: Filed].
Don Joven Ravoy Agravante, Daiki Kimura, Michiaki Tatsubori, "(confidential)", US18073651, 2023 [status: Filed].
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori, "(confidential)", US17812757, 2022 [status: Filed]
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Michiaki Tatsubori, "(confidential)", US17494055, 2021 [status: Filed].
"Mapped Attribute Representations for Improving Generalization in Text-based Games via Summarization", IPCOM000266394D, 2021 [status: Defensive Publication].
"Reinforcement Learning with Logical Neural Networks", IPCOM000265954D, 2021 [status: Defensive Publication].
"Predicting Hidden State of an Object from Corpus", IPCOM000265947D, 2021 [status: Defensive Publication].
Akifumi Wachi, Ryosuke Kohita, Daiki Kimura, "(confidential)", US 17110400, 2020 [status: Filed].
Subhajit Chaudhury, Daiki Kimura, Gakuto Kurata, Ryuki Tachibana, "(confidential)", US 17109550, 2020 [status: Filed].
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, "(confidential)", US 17102857, 2020 [status: Filed].
Daiki Kimura, Akifumi Wachi, Subhajit Chaudhury, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, "(confidential)", US 17102804, 2020 [status: Filed].
Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana, "(confidential)", US 17099363, 2020 [status: Filed].
Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, "(confidential)", US 17078221, 2020 [status: Filed].
"Deep frame interpolation of quantum wave video by introducing loss in Fourier space", IPCOM000262542D, 2020 [status: Defensive Publication].
Subhajit Chaudhury, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar, "Text-based response environment action selection", US 11556788B2, 2020 [status: Grant].
Jason Marc Plawinski, Daiki Kimura, Tristan Matthieu Stampfler, Subhajit Chaudhury, and Asim Munawar, "Image reconstruction based on edge loss", US 11158059B1, 2020 [status: Grant].
Subhajit Chaudhury, Daiki Kimura, Asim Munawar, and Ryuki Tachibana, "Accelerated object labeling using prior geometric knowledge", US 11257240B2, 2019 [status: Grant].
Daiki Kimura, and Ryuki Tachibana, "Region of interest weighted anomaly detection", US 10909671B2, 2018 [status: Grant].
Subhajit Chaudhury, Daiki Kimura, Tadanobu Inoue, and Ryuki Tachibana, "Closed loop model-based action learning with model-free inverse reinforcement learning", US 11468334B2, 2018 [status: Grand].
Daiki Kimura, Sakyasingha Dasgupta, Subhajit Chaudhury, and Ryuki Tachibana, "Reward estimation via state prediction using expert demonstrations", US 20190272465A1, 2018 [status: Pending].
Daiki Kimura, "Image Processing Device for Pamphlet Analysis", PCT/JP2016/069489, 2016 [status: Grant].
Daiki Kimura, and Soh Masuko, "Information Processing Device for E-Commerce Service", JP 6397879B2, 2016 [status: Grant].
Daiki Kimura, and Osamu Hasegawa, "Action Transfer Device", US 20170326727A1, 2015 [status: Grant].
Osamu Hasegawa, and Daiki Kimura, "Motion Transfer Device", JP 6550605, 2014 [status: Grant]
Osamu Hasegawa, Daiki Kimura, Pichai Kankuekul, and Aram Kawewong, "Attribute Learning and Transfer System", #5846553, 2011 [status: Grant]

Education

Doctor of Engineering, 2012 - 2015, Tokyo Institute of Technology (Institute of Science Tokyo), "Knowledge Transfer on Robots", (summary)
Master of Engineering, 2011 - 2012 (shortened), Tokyo Institute of Technology (Institute of Science Tokyo), "Ultra-Fast and Online Incremental Transfer Learning"
Bachelor of Engineering, 2009 - 2011, Tokyo Institute of Technology (Institute of Science Tokyo), "Base Researches for Autonomous-Mental-Development Robot"
Foundation degree, 2004 - 2009, National Institute of Technology, Tokyo College, "Scheduling Method without Waiting Time for Mobiles"

Languages