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Ulrich Bauer: Algebraic perspectives of Persistence
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Classroom Contents
Applied and Computational Algebraic Topology
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- 1 Ran Levi: Topological analysis of neural networks
- 2 Maurice Herlihy: Distributed Computing through Combinatorial Topology
- 3 Ulrich Bauer: Ripser Efficient computation of Vietoris–Rips persistence barcodes
- 4 Michael Kerber: Novel computational perspectives of Persistence
- 5 Samuel Mimram: Introduction to Concurrency Theory through Algebraic Topology #1
- 6 Ginestra Bianconi: Emergent Network Geometry
- 7 Shmuel Weinberger: Descriptive geometry of function spaces
- 8 Katharine Turner: Statistical Shape Analysis using the Persistent Homology Transform
- 9 Ulrich Bauer: Algebraic perspectives of Persistence
- 10 Chad Giusti: Topology convexity and neural networks
- 11 Michael Farber: Topology of large random spaces
- 12 Dmitry Feichtner-Kozlov: Topology of complexes arising in models for Distributed Computing #1
- 13 Martin Raussen: Topological and combinatorial models of directed path spaces
- 14 Peter Bubenik: Stabilizing the unstable output of persistent homology computations
- 15 Jacek Brodzki: The Geometry of Synchronization Problems and Learning Group Actions
- 16 Dmitry Feichtner-Kozlov: Topology of complexes arising in models for Distributed Computing #2
- 17 Matthias Reitzner: Poisson U statistics Subgraph and Component Counts in Random Geometric Graphs
- 18 Jeremy Dubut: Natural homology computability and Eilenberg Steenrod axioms
- 19 Yasu Hiraoka: Limit theorem for persistence diagrams and related topics
- 20 Maurice Herlihy: Applying Combinatorial Topology to Byzantine Tasks
- 21 Samuel Mimram: Introduction to Concurrency Theory through Algebraic Topology #2
- 22 Krzysztof Ziemianski: Directed paths on cubical complexes
- 23 Roy Meshulam: High Dimensional Expanders
- 24 Roy Meshulam: Sum Complexes and their Applications
