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Tamal Dey (8/24): Computing Generalized Ranks of Persistence Modules via Unfolding to Zigzag Modules

Vidit Nanda (07/31/24): Harder-Narasimhan Filtrations of Persistence Modules

Rayna Andreeva (07/17/2024): Metric space magnitude and generalization in neural networks

Killian Meehan (07/10/24): Topological Node2vec: improving graph embeddings with persistent homology

Qingsong Wang (06/19/24): Measure Theoretic Reeb Graphs

Markus Reineke (6/4/2024): Quiver representations and neural networks

Bianca Dornelas (05/29/24): Collapsing higher order Čech to higher order Delaunay complexes

Björn Sandstede (05/15/24): Pattern statistics and model comparison via topological data analysis

Amber Wu (4/24/24): Topological Data Analysis in an Economic Context: Property Tax Maps

Asuka Takatsu (4/10/24): On geometric properties of sliced/disintegrated optimal transport metrics

Katie Morrison (4/2/2024) Predicting neural network dynamics from connectivity

Tatum Rask (04/03/24): Poincaré Duality for Generalized Persistence Diagrams of (co)Filtrations

Arturo Espinosa Baro (3/28/24): Effective topological complexity and effective LS category

Elizabeth Munch (3/20/23): Bounding the Interleaving Distance for Mapper Graphs with a Loss Function

Giuliamaria Menara (3/27/24): Eulerian magnitude homology: subgraph structure and random graphs

Bernadette Stolz (03/13/2024): Applications of topology to data from oncology

Michael Robinson (02/19/24): The snake lemma and indecomposable chain maps

Wenwen Li (01/17/24): 2-Param. Persistent Homology of the Second Configuration Spaces of Star Graphs

Dani Bassett (12/5/2023): Science as branched flow: A case study in citation disparities

Inés García-Redondo (11/29/23): Computable Stability for Persistence Rank Function Machine Learning

Takaaki Aoki (11/15/23): Potential landscape of human flow in cities

Shreya Arya (10/4/23): A sheaf-theoretic construction of Shape Space

Patrick Schnider (09/20/2023): Topological Methods in Discrete Geometry

Chao Chen (09/13/23): Topological Uncertainty and Representations for Biomedical Image Analysis