Rchr
J-GLOBAL ID:200901024982789570   Update date: Mar. 25, 2023

Inoue Katsumi

イノウエ カツミ | Inoue Katsumi
Affiliation and department:
Job title: Professor
Other affiliations (2):
Homepage URL  (1): http://research.nii.ac.jp/il/
Research field  (4): Mathematical informatics ,  Computational science ,  Biological, health, and medical informatics ,  Intelligent informatics
Research keywords  (15): Boolean Networks ,  SAT ,  Artificial Intelligence ,  Knowledge Representation ,  Answer Set Programming ,  Resilience ,  Systems Biology ,  Multi-Agent Systems ,  Consequence Finding ,  Logic Programming ,  Inductive Logic Programming ,  Reasoning ,  Machine Learning ,  Knowledge Discovery ,  Abduction
Research theme for competitive and other funds  (22):
  • 2022 - 2028 Machine Learning That Connects to Symbolic Reasoning
  • 2022 - 2025 Artificial Intelligence for Uncovering Network Dynamics of SARS-CoV-2 Multiscale Infection Systems
  • 2021 - 2025 Robust AI by Integration of Knowledge Representation and Machine Learning
  • 2022 - 2024 Industrial Applications of Machine Learning and Symbolic Reasoning
  • 2018 - 2023 Advanced Inference Techniques for Huge Knowledge Graphs in Tensor Spaces
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Papers (452):
  • Mitsuhiro Odaka, Morgan Magnin, Katsumi Inoue. Data-Driven and Knowledge-Based Causal Network Discovery for Identifying Differential Equations. In: AAAI Spring Symposium on Computational Approaches to Scientific Discovery. 2023. 2p.
  • Nicolas Schwind, Katsumi Inoue, Pierre Marquis. Editing Boolean Classifiers: A Belief Change Perspective. In: Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI-23; Washington, D.C., USA, February 7-14, 2023). 2023. to appear. 9p.
  • Tuan Nguyen Quoc, Katsumi Inoue. On Converting Logic Programs into Matrices. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2023; Lisbon, Portugal, 22-24, February 2023). 2023. 2. 405-415
  • Tuan Nguyen, Katsumi Inoue, Chiaki Sakama. Linear Algebraic Abduction with Partial Evaluation. In: Hanus, M., Inclezan, D. (eds), Practical Aspects of Declarative Languages: Proceedings of the 25th International Symposium (PADL 2023; Boston, MA, USA, January 16-17, 2023), Lecture Notes in Computer Science. 2023. 13880. 197-215
  • Camilo Sarmiento, Gauvain Bourgne, Katsumi Inoue, Jean-Gabriel Ganascia. Action Languages Based Actual Causality in Decision Making Contexts. In: Aydoğan, R., Criado, N., Lang, J., Sanchez-Anguix, V., Serramia, M. (eds), Principles and Practice of Multi-Agent Systems, Proceedings of the 24th International Conference (PRIMA 2022; Valencia, Spain, November 16-18, 2022), Lecture Notes in Artificial Intelligence. 2023. 13753. 243-259
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MISC (109):
  • Hidetomo Nabeshima, Tsubasa Fukiage, Yuto Obitsu, Xiao-Nan Lu, Katsumi Inoue. DPS-Kissat. In: Tomáš Balyo, Marijn J. H. Heule, Markus Iser, Matti Järvisalo, Martin Suda (eds.), Proceedings of SAT Competition 2022: Solver and Benchmark Descriptions, Department of Computer Science Series of Publications B, University of Helsinki. 2022. B-2022-1. 43
  • Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean-Marie Lagniez. SAT Benchmarks for the Robust Team Formation Problem. In: Tomáš Balyo, Marijn J. H. Heule, Markus Iser, Matti Järvisalo, Martin Suda (eds.), Proceedings of SAT Competition 2022: Solver and Benchmark Descriptions, Department of Computer Science Series of Publications B, University of Helsinki. 2022. B-2022-1. 74-77
  • Camilo Sarmiento, Gauvain Bourgne, Daniele Cavalli, Katsumi Inoue, Jean-Gabriel Ganascia. Action Languages Based Actual Causality in Ethical Decision Making Contexts. CoRR abs/2205.02919. 2022. 19p.
  • Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang. Learning First-Order Rules with Differentiable Logic Program Semantics. CoRR abs/2204.13570. 2022. 14p.
  • Mitsuhiro Odaka, Morgan Magnin, Katsumi Inoue. Gene Network Inference from Single-Cell Omics Data and Domain Knowledge for Constructing COVID-19-Specific ICAM1-Associated Pathways. Research Square. 2022. 17p.
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Books (19):
  • Abductive Logic Programming and Linear Algebraic Computation, in: Lorenzo Magnani (ed.), Handbook of Abductive Cognition
    Springer 2023
  • Computational Framework of Resilience
    Springer 2016 ISBN:9783319398105
  • Late Breaking Papers of the 25th International Conference on Inductive Logic Programming (ILP 2015; Kyoto, Japan, August 20-22, 2015)
    CEUR Workshop Proceedings, Vol. 1636 2016
  • Inductive Logic Programming: Revised and Selected Papers from the 25th International Conference (ILP 2015; Kyoto, Japan, August 20-22, 2015), Lecture Notes in Artificial Intelligence, Vol.9575
    Springer 2016 ISBN:9783319405650
  • Systems’ Resilience: Resilience from Various Disturbances (in Japanese)
    Kindai Kagakusha 2016 ISBN:9784764905085
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Lectures and oral presentations  (165):
  • Learning Differential Equations of Dynamical Systems Based on Discovery of Causal Networks from Multivariate Time Series (in Japanese)
    (The 37th Annual Conference of Japanese Society for Artificial Intelligence (JSAI 20223) 2023)
  • Solving Hamiltonian Cycle Reconfiguration Problems with Answer Set Programming (in Japanese)
    (The 25th JSSST Workshop on Programming and Programming Languages (PPL 2023) 2023)
  • Action Languages Based Actual Causality in Decision Making Contexts
    (International Workshop on AI Compliance Mechanism (WAICOM 2022) 2022)
  • GNN-MatSat: A Differentiable SAT Solver Based on Initialization by Graph Neural Networks
    (The 36th Annual Conference of Japanese Society for Artificial Intelligence (JSAI 2022), 4F3-OS-8b-03 2022)
  • Comparing the Accuracy of Machine Learning Methods Towards Predicting Cell Behavior Under Radiation (in Japanese)
    (Artificial Intelligence in Medicine, Japan Association for Medical Informatics (JAMI) & The Japanese Society for Artificial Intelligence (JSAI), SIG-AIMED-011-09 2021)
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Education (3):
  • - 1993 Kyoto University Department of Applied Mathematics and Physics PhD Degree (Engineering)
  • 1982 - 1984 Kyoto University Graduate School, Division of Engineering Department of Applied Mathematics and Physics
  • 1978 - 1982 Kyoto University Faculty of Engineering Department of Applied Mathematics and Physics
Professional career (1):
  • Doctor of Engineering (Kyoto University)
Work history (11):
  • 2021/04 - 現在 Tokyo Institute of Technology School of Computing Visiting Professor
  • 2020/02 - 現在 École Centrale de Nantes Visiting Professor
  • 2005/04 - 現在 The Graduate University for Advanced Studies, SOKENDAI Department of Informatics, School of Multidisciplinary Sciences Professor
  • 2004/03 - 現在 National Institute of Informatics Professor
  • 2016/04 - 2021/03 Tokyo Institute of Technology School of Computing Specially Appointed Professor
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Committee career (118):
  • 2022/11 - 現在 The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023) Area Chair
  • 2022/11 - 現在 The 39th International Conference on Logic Programming (ICLP 2023) Member of Program Committee
  • 2017/09 - 現在 Atlanstic 2020, France Member of Scientific Committee
  • 2010/10 - 現在 NII Shonan Meetings Member of Academic Committee
  • 2022/01 - 2022/09 The 31st International Conference on Inductive Logic Programming (ILP 2022) Member of Program Committee
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Awards (25):
  • 2022/08 - SAT Competition 2022 2nd Place at Main Parallel Track & 3rd Place at Anniversary Parallel Track NPS & DPS
  • 2021/10 - The 30th International Conference on Inductive Logic Programming (ILP 2020-2021) The Best Paper Award Learning any Memory-Less Discrete Semantics for Dynamical;Systems Represented;by Logic Programs
  • 2020/07 - SAT Competition 2020 3rd Places - Parallel Track & Parallel Track UNSAT ManyGlucose (4.1-60)
  • 2019/11 - ILP 2019: 29th International Conference on Inductive Logic Programming, Best Student Paper Award "Learning Logic Programs from Noisy State Transition Data"
  • 2018/09 - Information Processing Society of Japan Specially Selected Paper of Journal of Information Processing "Proposal of SAT-Based Method to Detect Deadlock of Petri Nets" (in Japanese)
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Association Membership(s) (4):
JAPAN SOCIETY FOR SOFTWARE SCIENCE AND TECHNOLOGY ,  AAAI ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
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