| 2024 | ICML | Learning Decision Trees and Forests with Algorithmic Recourse. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2024 | PRICAI | Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor. | Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata |
| 2022 | AISTATS | Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2022 | ICDM | Change Detection with Probabilistic Models on Persistence Diagrams. | Kohei Ueda, Yuichi Ike, Kenji Yamanishi |
| 2022 | ICDM | Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. | Ryo Yuki, Yuichi Ike, Kenji Yamanishi |
| 2021 | AAAI | Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura |
| 2021 | AISTATS | ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning. | Martin Royer, Frdric Chazal, Clment Levrard, Yuhei Umeda, Yuichi Ike |
| 2021 | ICML | Optimizing persistent homology based functions. | Mathieu Carrire, Frdric Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda |
| 2021 | IJCAI | Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. | Tho Lacombe, Yuichi Ike, Mathieu Carrire, Frdric Chazal, Marc Glisse, Yuhei Umeda |
| 2021 | VR | Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition. | Takefumi Hiraki, Tomohiro Hayase, Yuichi Ike, Takashi Tsuboi, Michio Yoshiwaki |
| 2020 | AISTATS | PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures. | Mathieu Carrire, Frdric Chazal, Yuichi Ike, Tho Lacombe, Martin Royer, Yuhei Umeda |