84 results on '"Ike, Yuichi"'
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2. Regular Lagrangians are smooth Lagrangians
3. Tamarkin's separation theorem for non-compact objects in cotangent bundles
4. Learning Decision Trees and Forests with Algorithmic Recourse
5. Completeness of derived interleaving distances and sheaf quantization of non-smooth objects
6. Lagrangian Cobordism and Shadow Distance in Tamarkin Category
7. Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
8. Microlocal categories over Novikov rings
9. MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
10. Algorithmic Recourse with Missing Values
11. A note on Hamiltonian stability for sheaves
12. The $\gamma$-support as a micro-support
13. Vanishing Component Analysis with Contrastive Normalization
14. Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length
15. RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
16. Completeness of derived interleaving distances and sheaf quantization of non-smooth objects
17. Curvature of point clouds through principal component analysis
18. Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
19. Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
20. Optimizing persistent homology based functions
21. Algebraic stability theorem for derived categories of zigzag persistence modules
22. Sheaf quantization and intersection of rational Lagrangian immersions
23. PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
24. DTM-based Filtrations
25. Persistence-like distance on Tamarkin's category and symplectic displacement energy
26. Compact exact Lagrangian intersections in cotangent bundles via sheaf quantization (with an appendix by Tomohiro Asano)
27. DTM-Based Filtrations
28. Categorical localization for the coherent-constructible correspondence
29. Hyperbolic localization via shrinking subbundles
30. Microlocal Lefschetz classes of graph trace kernels
31. Hyperbolic localization and Lefschetz fixed point formulas for higher-dimensional fixed point sets
32. Sheaf quantization and intersection of rational Lagrangian immersions
33. The γ-support as a micro-support
34. DTM-Based Filtrations
35. Algebraic stability theorem for derived categories of zigzag persistence modules
36. Dimensionality Selection for Hyperbolic Embeddings using Decomposed Normalized Maximum Likelihood Code-Length
37. Counterfactual Explanation with Missing Values
38. Sheaf quantization and intersection of rational Lagrangian immersions
39. Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length
40. Change Detection with Probabilistic Models on Persistence Diagrams
41. Microlocal categories over the Novikov ring I: cotangent bundles
42. Algebraic stability theorem for derived categories of zigzag persistence modules
43. Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
44. ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning
45. Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
46. Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition
47. A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects
48. PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
49. Persistence-like distance on Tamarkin’s category and symplectic displacement energy
50. A General Neural Network Architecture for Persistence Diagrams and Graph Classification
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