| PersLay: a neural network layer for persistence diagrams and new graph topological signatures M Carrière, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda 23rd International Conference on Artificial Intelligence and Statistics …, 2020 | 309 | 2020 |
| Optimizing persistent homology based functions M Carriere, F Chazal, M Glisse, Y Ike, H Kannan 38th International Conference on Machine Learning (ICML2021), 1294-1303, 2021 | 102 | 2021 |
| DTM-based Filtrations H Anai, F Chazal, M Glisse, Y Ike, H Inakoshi, R Tinarrage, Y Umeda 35th International Symposium on Computational Geometry (SoCG2019), 2019 | 70 | 2019 |
| Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization K Kanamori, T Takagi, K Kobayashi, Y Ike, K Uemura, H Arimura 35th AAAI Conference on Artificial Intelligence (AAAI2021), 2020 | 65 | 2020 |
| Counterfactual explanation trees: Transparent and consistent actionable recourse with decision trees K Kanamori, T Takagi, K Kobayashi, Y Ike International Conference on Artificial Intelligence and Statistics, 1846-1870, 2022 | 53 | 2022 |
| Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs T Lacombe, Y Ike, M Carriere, F Chazal, M Glisse, Y Umeda 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | 42 | 2021 |
| Persistence-like distance on Tamarkin's category and symplectic displacement energy T Asano, Y Ike Journal of Symplectic Geometry 18 (3), 613-649, 2020 | 40 | 2020 |
| ATOL: Measure Vectorisation for Automatic Topologically-Oriented Learning M Royer, F Chazal, C Levrard, Y Ike, Y Umeda 24rd International Conference on Artificial Intelligence and Statistics …, 2021 | 38 | 2021 |
| RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds T de Surrel, F Hensel, M Carrière, T Lacombe, Y Ike, H Kurihara, M Glisse, ... Topological, algebraic and geometric learning workshops 2022, 96-106, 2022 | 32 | 2022 |
| Completeness of derived interleaving distances and sheaf quantization of non-smooth objects T Asano, Y Ike Mathematische Annalen 390, 2991-3037, 2024 | 18* | 2024 |
| Sheaf quantization and intersection of rational Lagrangian immersions T Asano, Y Ike Annales de l’Institut Fourier 73 (4), 1533-1587, 2023 | 18* | 2023 |
| Compact exact Lagrangian intersections in cotangent bundles via sheaf quantization Y Ike Publications of the Research Institute for Mathematical Sciences 55 (4), 737-778, 2019 | 18 | 2019 |
| Adaptive topological feature via persistent homology: Filtration learning for point clouds N Nishikawa, Y Ike, K Yamanishi Advances in Neural Information Processing Systems 36, 9131-9143, 2023 | 8 | 2023 |
| Microlocal categories over Novikov rings Y Ike, T Kuwagaki arXiv preprint arXiv:2307.01561, 2023 | 7 | 2023 |
| The -support as a micro-support T Asano, S Guillermou, V Humilière, Y Ike, C Viterbo Comptes Rendus. Mathématique 361 (G8), 1333-1340, 2023 | 7 | 2023 |
| Dimensionality selection of hyperbolic graph embeddings using decomposed normalized maximum likelihood code-length R Yuki, Y Ike, K Yamanishi 2022 IEEE International Conference on Data Mining (ICDM), 666-675, 2022 | 6 | 2022 |
| Curvature of point clouds through principal component analysis Y Asao, Y Ike arXiv preprint arXiv:2106.09972, 2021 | 6 | 2021 |
| Categorical localization for the coherent-constructible correspondence Y Ike, T Kuwagaki Publications of the Research Institute for Mathematical Sciences 55 (1), 1-24, 2019 | 6* | 2019 |
| Regular Lagrangians are smooth Lagrangians T Asano, S Guillermou, Y Ike, C Viterbo Journal of the Mathematical Society of Japan 1 (1), 1-18, 2025 | 5 | 2025 |
| Learning Decision Trees and Forests with Algorithmic Recourse K Kanamori, T Takagi, K Kobayashi, Y Ike 41st International Conference on Machine Learning (ICML2024), 2024 | 5 | 2024 |
Frederic ChazalINRIA Saclay - Ile de FranceVerified email at inria.fr
