2023年度

論文

1. Masatsugu Yamada, Mahito Sugiyama, Molecular Graph Generation by Decomposition and Reassembling, ACS Omega, 2023.

2022年度

論文

1. Kengo Nakamura, Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, CompDP: A Framework for Simultaneous Subgraph Counting under Connectivity Constraints, 21st Symposium on Experimental Algorithms (SEA 2023), 2023 (accepted).
2. Kengo Nakamura, Takeru Inoue, Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Exact and Efficient Network Reliability Evaluation per Outage Scale, IEEE International Conference on Communication, (ICC 2023), 2023 (accepted).
3. Kengo Nakamura, Takeru Inoue, Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, A Fast and Exact Evaluation Algorithm for the Expected Number of Connected Nodes: an Enhanced Network Reliability Measure, IEEE International Conference on Computer Communications (INFOCOM 2023), 2023 (accepted).
4. Ryuichi Kanoh, Mahito Sugiyama, Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel, 11th International Conference on Learning Representations (ICLR 2023), 2023.
5. Masaya Hagai, Mahito Sugiyama, Koji Tsuda, Takeshi Yanai, Artificial neural network encoding of molecular wavefunctions for quantum computing, Digital Discovery, 2023.
6. Mitsuhiro Odaka, Morgan Magnin, Katsumi Inoue, Data-Driven and Knowledge-Based Causal Network Discovery for Identifying Differential Equations, AAAI Spring Symposium on Computational Approaches to Scientific Discovery, 2023.
7. Kazu Ghalamkari, Mahito Sugiyama, Non-negative Low-rank Approximations for Multi-dimensional Arrays on Statistical Manifold, Information Geometry, 2023.
8. Nicolas Schwind, Katsumi Inoue, Pierre Marquis, Editing Boolean Classifiers: A Belief Change Perspective, 37th AAAI Conference on Artificial Intelligence (AAAI 2023), 2023.
9. Tuan Nguyen Quoc, Katsumi Inoue, On Converting Logic Programs into Matrices, The 12th International Conference on Agents and Artificial Intelligence (ICAART 2023), 2023.
10. Tuan Nguyen, Katsumi Inoue, Chiaki Sakama, Linear Algebraic Abduction with Partial Evaluation, The 25th International Symposium on Practical Aspects of Declarative Languages (PADL 2023), 2023.
11. Masaaki Nishino, Kengo Nakamura, Norihito Yasuda, Generalization Analysis on Learning with a Concurrent Verifier, Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022.
12. Ryosuke Kojima, Yuji Okamoto, Learning Deep Input-Output Stable Dynamics, Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022.
13. Hikaru Tomonari, Masaaki Nishino, Akihiro Yamamoto, Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training, The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL/IJCNLP 2022 (Findings)), 2022.
14. Camilo Sarmiento, Gauvain Bourgne, Katsumi Inoue, Jean-Gabriel Ganascia, Action Languages Based Actual Causality in Decision Making Contexts, Proceedings of the 24th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2022), 2022.
15. Tony Ribeiro, Maxime Folschette, Morgan Magnin, Katsumi Inoue, Learning any memory-less discrete semantics for dynamical systems represented by logic programs, Machine Learning, 2022.
16. Koji Watanabe, Katsumi Inoue, Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines, Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022), 2022.

発表

1. 加納龍一, 杉山麿人, 任意の二分木構造に対するTree Neural Tangent Kernel, 第25回情報論的学習理論ワークショップ（IBIS2022）, 2022.
2. ガラムカリ和, 杉山麿人, テンソルの部分二体相互作用近似, 第25回情報論的学習理論ワークショップ（IBIS2022）, 2022.
3. 西野正彬, 中村健吾, 安田宜仁, 検証器つきモデルの汎化性能解析, 第25回情報論的学習理論ワークショップ（IBIS2022）, 2022.

書籍

1. Tuan Nguyen Quoc, Katsumi Inoue, Chiaki Sakama, Abductive Logic Programming and Linear Algebraic Computation, Abductive Logic Programming and Linear Algebraic Computation, in: Lorenzo Magnani (ed.), Handbook of Abductive Cognition, 2023.