| Ike Yuichi | Last modified date：2024.06.03 |
Associate Professor /
Division of Industrial and Mathematical Statistics /
Institute of Mathematics for Industry
Presentations
| 1. | Yuichi Ike, Sheaf quantization for the completion of the space of Lagrangians, 超局所解析と漸近解析における諸問題, 2023.11. |
| 2. | Yuichi Ike, Persistent Homology and Machine Learning, WORKSHOP on Mathematics for Industry, 2023.09. |
| 3. | Yuichi Ike, The completion of the space of Lagrangians and sheaves, UCLA Topology Seminar, 2023.09. |
| 4. | Yuichi Ike, The completion of the space of Lagrangians and sheaves, USC Topology Seminar, 2023.09. |
| 5. | Yuichi Ike, Interleaving Distance for Sheaves and Symplectic Geometry, USTC-IGP Geometry & Topology seminar, 2023.04, [URL]. |
| 6. | Persistent homology and machine learning. |
| 7. | Yuichi Ike, Convergence of stochastic subgradient descent for persistence-based loss functions, The 15th Mathematical Society of Japan-Seasonal Institute (MSJ-SI2022), Deepening and Evolution of Applied Singularity Theory, 2022.11, [URL]. |
| 8. | Tamarkin圏におけるインターリービング距離の完備性とC0シンプレクティック幾何への応用. |
| 9. | Yuichi Ike, Completeness of interleaving distance on Tamarkin category and C^0-symplectic geometry, Séminaire symplectix, 2022.10, [URL]. |
| 10. | Yuichi Ike, Interleaving for sheaves and quantitative problems in symplectic geometry, Séminaire de topologie, géométrie et algèbre, 2022.10, [URL]. |
| 11. | Yuichi Ike, Topological loss functions and topological representation learning, The 2nd POSTECH MINDS Workshop on Topological Data Analysis and Machine Learning, 2022.09, [URL]. |
| 12. | Yuichi Ike, RipsNet: fast and robust estimation of persistent homology for point clouds, AATRN Applied Topology Seminar, 2022.06, [URL]. |
| 13. | Yuichi Ike, Interleaving distance for sheaves and symplectic geometry, Boston-Keio-Tsinghua Workshop 2022, 2022.06, [URL]. |
| 14. | Topological data analysis and its applications to machine learning. |
| 15. | Yuichi Ike, Topological loss functions and topological representation learning, Workshop on Functional Inference and Machine Intelligence 2022, 2022.03, [URL]. |
| 16. | Topological Data Analysis and Machine Learning. |
| 17. | Yuichi Ike, Interleaving distance for sheaves and displacement energy in symplectic geometry, PSHT Online Seminar, 2022.01, [URL]. |
| 18. | Convergence theorem on stochastic subgradient method for TDA-based loss functions. |
| 19. | Microlocal sheaf theory and energy estimates in symplectic geometry. |
| 20. | Persistence-like distance on a sheaf category and displacement energy in symplectic geometry. |
| 21. | Interleaving-like distance on a sheaf category and displacement energy. |
| 22. | Applications of TDA to neural network analysis. |
| 23. | Yuichi Ike, Convergence Result of Stochastic Subgradient Descent for Persistence-based Functions, Waseda Cherry Blossom Workshop on Topological Data Science, 2021.03. |
| 24. | Yuichi Ike, Stochastic subgradient descent for persistence-based functionals and automated vectorization method for persistence diagrams, Asia Pacific Seminar on Applied Topology and Geometry, 2020.12, [URL]. |
| 25. | Persistence-like distance on sheaf category and displacement energy. |
| 26. | Sheaf theory and its applications, [URL]. |
| 27. | Yuichi Ike, Persistence-like distance on Tamarkin category and displacement energy, Séminaire symplectix, 2020.10, [URL]. |
| 28. | Microlocal theory of sheaves and displacement energy. |
| 29. | PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures, [URL]. |
| 30. | Yuichi Ike, Topological data analysis from a practical and mathematical perspective, iTHEMS Math Seminar, 2020.07, [URL]. |
| 31. | Sheaf cobordism and distance in Tamarkin category. |
| 32. | Microlocal sheaf theory and geometry. |
| 33. | Microlocal Hofer distance and displacement energy. |
| 34. | Persistence-like distance on Tamarkin's category and symplectic displacement energy, [URL]. |
| 35. | Applications of microlocal sheaf theory to symplectic geometry in cotangent bundles. |
| 36. | Introduction to microlocal sheaf theory and sheaf quantization, [URL]. |
| 37. | Sheaf-theoretic approaches to symplectic geometry in cotangent bundles. |
| 38. | 池 祐一, Compact exact Lagrangian intersection in cotangent bundles via sheaf quantization, 第12回 鹿児島 代数・解析・幾何学セミナー, 2017.02, [URL]. |
| 39. | 池 祐一, Categorical localization for the coherent-constructible correspondence, Workshop on mirror symmetry and related topics, Kyoto 2016, 2016.12. |
| 40. | 池 祐一, Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets, Séminaire Analyse Algébrique, 2016.10. |
| 41. | Yuichi Ike, Categorical localization for the coherent-constructible correspondence, Séminaire symplectix, 2016.10, [URL]. |
| 42. | Yuichi Ike and Tatsuki Kuwagaki, Categorical localization for the coherent-constructible correspondence, Summer school 2016 of the IMJ-PRG, Symplectic topology, sheaves and mirror symmetry, 2016.06, [URL]. |
| 43. | Yuichi Ike, Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets, Workshop on Stratified Spaces: Perspectives from Analysis, Geometry and Topology, 2016.08, [URL]. |
| 44. | Yuichi Ike, Lefschetz fixed point formulas for higher-dimensional fixed point sets, The sixth Japanese-Australian Workshop on Real and Complex Singularities, 2015.11, [URL]. |
| 45. | Yuichi Ike, Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets, Microlocal Analysis and Singular Perturbation Theory, 2015.10. |
| 46. | 池 祐一, Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets, 埼玉大学木曜セミナー（幾何）, 2015.07. |
| 47. | Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets. |
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