Birs- 12w5081: Topological data analysis and machine learning theory
-
Title: Opening remarks: State of TDA
Speaker:
Link:
-
Title: Persistence Measure and Stability
Speaker:
Link:
-
Title: Algebraic Geometry for Learning Mixtures of Gaussians and Other Distributions
Speaker:
Link:
-
Title: Topological statistical mechanics
Speaker:
Link:
-
Title: Topological Dimensionality Reduction: Using the Toplogy of the Feature Space to Select Optimal Features
Speaker:
Link:
-
Title: Discrete Morse theory as a preprocessor for computing homology
Speaker:
Link:
-
Title: Isotopic Molecular Visualizations
Speaker:
Link:
-
Title: Frechet means for persistence diagrams and vineyads
Speaker:
Link:
-
Title: Persistence Stability for Geometric complexes
Speaker:
Link:
-
Title: Persistence Homology and Metric Geometry
Speaker:
Link:
-
Title: Robust PCA
Speaker:
Link:
-
Title: Combining data transformations and topological methods to address biology-driven problems
Speaker:
Link:
-
Title: Understanding the Gaussian-weighted Graph Laplace Operator
Speaker:
Link:
-
Title: Upper and lower bounds for distance to measure approximation
Speaker:
Link:
-
Title: Spaces of executions as simplicial complexes
Speaker:
Link:
-
Title: Thin position and topological clustering of large data sets
Speaker:
Link:
-
Title: Shape reconstruction in high dimensions with Rips complexes
Speaker:
Link:
-
Title: Inference using a new topological statistic, the persistence landscape
Speaker:
Link:
-
Title: Manifold learning via Lie groups
Speaker:
Link:
-
Title: Topological Data Analysis and Mesh Generation
Speaker:
Link: