Fields- Workshop on Topological Data Analysis
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Title: Combinatorial Structures in Neural Networks
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Title: Distance-bases descriptors of fullerenes
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Title: Counting Embedded Spheres with the same Persistence
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Title: Persistent Local Systems
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Title: Clay Lecture: TDA and Deep Learning
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Title: Clay Lecture: Persistent Homology from Chebyshev and Weierstrass to Gromov -- or focusing on the small bars
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Title: Topological neuron synthesis: reconstructing trees from barcodes
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Title: Discrete Stratified Morse Theory
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Title: Persistence-Based Distances for Comparing Metric Graphs
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Title: Borsuk-Ulam Theorems and Vietoris-Rips Complexes
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Title: Interleavings and Gromov-Hausdorff Distance for Categories
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Title: A unified topological approach to data science via higher dimensional structures of graphs
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Title: Vietoris-Rips Persistent Homology, Injective Metric Spaces, and The Filling Radius
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Title: vectorising geometry
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Title: Persistent Homotopy Theory
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Title: Clay Lecture: Cup Products In Motion Planning and Coverage Problems
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Title: Clay Lecture: Persistent Homology from Chebyshev and Weierstrass to Gromov -- or focusing on the small bars
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Title: UMAP + MAPPER = UMAPPER
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Title: Topology and (in silico) neuroimaging simulations
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Title: Universality of the Gromov--Hausdorff distance
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